JP2021150942A - Image capture device and image capture processing method - Google Patents

Abstract

To provide an image capture device and an image capture processing method that enable accurate confirmation of whether an object appears in a captured image.SOLUTION: An image capture device 1 comprises: an image capture unit 11 to capture an image of an object; a projection unit 12 to project light onto the object; a distance information acquisition unit 13 to receive light reflected from the object; and a display control unit 170 to cause display units 20, 520 to display differently depending on the presence or absence of a specific object determined based on an output of the distance information acquisition unit 13 and an output of the image capture unit 11.SELECTED DRAWING: Figure 7

Description

The present invention relates to an image pickup apparatus and an image pickup processing method.

Patent Document 1 describes a distance measuring device capable of measuring the distance to an object in a stable and accurate manner.

Patent Document 2 describes an image pickup apparatus that performs image processing to reduce the influence of the reflection when the reflection of a finger or the like occurs.

An object of the present invention is to provide an image pickup apparatus and an image pickup processing method capable of accurately confirming the presence or absence of an image of an object in a captured image.

The imaging apparatus according to the present invention includes an imaging unit that images an object, a projection unit that projects light onto the object, a light receiving unit that receives light reflected from the object, an output of the light receiving unit, and an output of the imaging unit. A display control unit that causes the display unit to display differently according to the presence or absence of a specific object determined based on the above.

According to the present invention, it is possible to provide an image pickup apparatus and an image pickup processing method capable of accurately confirming the presence or absence of an image of an object in a captured image.

It is a figure which shows an example of the appearance of the image pickup apparatus which concerns on embodiment of this invention. It is a figure for demonstrating the structure of the image pickup apparatus in the same embodiment. It is a figure for demonstrating the usage situation of the image pickup apparatus in the same embodiment. It is a figure which shows an example of the structure of the processing block of the processing circuit in the same embodiment. It is a flow chart which shows an example of the operation of the processing circuit of the image pickup apparatus in the same embodiment. It is a spherical image data generation flow chart in the same embodiment. It is a proximity object judgment flow chart in the same embodiment. It is a figure for demonstrating the display content of the display part in the same embodiment. It is a figure which shows the appearance of the image pickup apparatus which concerns on the modification of this embodiment. .. It is a figure which shows the structure of the processing block of the processing circuit in the modification. It is a figure which shows the appearance of the image pickup apparatus which concerns on the 2nd modification of embodiment of this invention. .. It is a figure which shows the structure of the processing block of the processing circuit in the 2nd modification. It is a close object judgment flow figure in the 2nd modification. It is a figure for demonstrating the structure of the image pickup apparatus which concerns on 3rd modification of embodiment of this invention.

Hereinafter, embodiments of the imaging apparatus and the imaging processing method will be described in detail with reference to the accompanying drawings.

FIG. 1 is a diagram showing an example of the appearance of the image pickup apparatus according to the embodiment of the present invention. FIG. 2 is a diagram for explaining the configuration of the image pickup apparatus. FIG. 2 shows the internal configuration of the image pickup apparatus of FIG.

The image pickup device 1 is an example of an information processing device that outputs three-dimensional information determined based on the received light, and is an image pickup unit (camera) 11 and a projection unit (distance sensor) that projects light other than visible light. A portion (12) corresponding to a light emitting unit and a distance information acquisition unit (a portion corresponding to a light receiving portion of a distance sensor) 13 that acquires distance information based on the light projected by the projection unit 12 are integrated with the housing 10. It is provided in. Each part is electrically connected to the processing circuit 14 inside the housing 10 by a synchronization signal line L, and operates in synchronization with each other.

The photographing switch 15 is for the user to input a photographing instruction signal to the processing circuit 14. The display unit 20 displays the contents corresponding to the output signal of the processing circuit 14, and is composed of a liquid crystal screen or the like. The display unit 20 may be configured by a touch panel or the like and may accept a user's operation input. The processing circuit 14 controls each part based on the shooting instruction to acquire RGB image and distance information data, and reconverts the acquired distance information data into high-density three-dimensional point cloud data based on the RGB image and distance information data. Perform the process of building. It is possible to construct 3D point cloud data by using the distance information data as it is, but in that case, the accuracy of the 3D point cloud data is limited to the number of pixels (resolution) of the distance information acquisition unit 13. .. In this example, the processing when reconstructing it into high-density three-dimensional point cloud data is also shown. The reconstructed data is output to an external PC or the like via a portable recording medium or communication, and is used for displaying a three-dimensional restoration model.

Electric power is supplied to each part and the processing circuit 14 from a battery housed inside the housing 10. In addition to this, a configuration in which power is supplied from the outside of the housing 10 by a connection cord may be used.

The image pickup unit 11 includes image pickup elements 11a and 11A, fisheye lenses (wide-angle lenses) 11b and 11B, and the like. The projection unit 12 includes light source units 12a and 12A, wide-angle lenses 12b and 12B, and the like. The distance information acquisition unit 13 includes TOF (Time Of Fright) sensors 13a and 13A, wide-angle lenses 13b and 13B, and the like. Although not shown, each part may constitute an optical system such as a prism or a lens group. For example, the image pickup unit 11 may be configured with an optical system for forming an image of the light collected by the fisheye lenses 11b and 11B on the image pickup devices 11a and 11A. Further, the projection unit 12 may be configured with an optical system that guides the light of the light source units 12a and 12A to the wide-angle lenses 12b and 12B. Further, the distance information acquisition unit 13 may be configured with an optical system for forming an image of the light collected by the wide-angle lenses 13b and 13B on the TOF sensors 13a and 13A. Each optical system may be appropriately determined according to the configuration and arrangement of the image pickup elements 11a and 11A, the light source units 12a and 12A, the TOF sensors 13a and 13A, and the like. Will be omitted for explanation.

The image pickup elements 11a and 11A, the light source units 12a and 12A, and the TOF sensors 13a and 13A are integrally housed inside the housing 10. The fisheye lens 11b, the wide-angle lens 12b, the wide-angle lens 13b, and the display unit 20 are each provided on the first surface on the front side of the housing 10. On the first surface, the inner range of each of the fisheye lens 11b, the wide-angle lens 12b, and the wide-angle lens 13b is open.

The fisheye lens 11B, the wide-angle lens 12B, the wide-angle lens 13B, and the photographing switch 15 are each provided on the second surface on the back side of the housing 10. On the second surface, the inner range of each of the fisheye lens 11B, the wide-angle lens 12B, and the wide-angle lens 13B is open.

The image sensors 11a and 11A are two-dimensional resolution image sensors (area sensors). The image pickup elements 11a and 11A have an image pickup area in which a large number of light receiving elements (photodiodes) of each pixel are arranged in a two-dimensional direction. R (Red), G (Green), and B (Blue) color filters such as a Bayer array are provided in the imaging area to receive visible light, and the light that has passed through the color filters is stored in the photodiode. NS. Here, an image sensor having a large number of pixels is used so that a wide-angle (for example, a range of a hemispherical sphere with a circumference of 180 degrees with the imaging direction as the front as shown in FIG. 2) can be acquired with high resolution. .. The image pickup devices 11a and 11A convert the light imaged in the image pickup area into an electric signal by the pixel circuit of each pixel and output a high-resolution RGB image. The fisheye lenses 11b and 11B collect light from a wide angle (for example, a range of a hemisphere with a circumference of 180 degrees with the image pickup direction as the front in FIG. 2), and image the light in the image pickup areas of the image pickup devices 11a and 11A.

The light source units 12a and 12A are semiconductor lasers, and emit laser light in a wavelength band other than the visible light region (here, infrared is used as an example) used for distance measurement. One semiconductor laser may be used for the light source units 12a and 12A, or a plurality of semiconductor lasers may be used in combination. Further, as the semiconductor laser, for example, a surface emitting type semiconductor laser such as VCSEL (Vertical Cavity Surface Emitting LASER) may be used. Further, the light of the semiconductor laser is molded by an optical lens so as to be vertically long, and the vertically long light is scanned in a one-dimensional direction of the measurement range by an optical deflection element such as a MEMS (Micro Electro Mechanical Systems) mirror. It may be configured. In the present embodiment, the light sources 12a and 12A show a form in which the light of the semiconductor laser LA is spread over a wide-angle range through the wide-angle lenses 12b and 12B without using a light deflection element such as a MEMS mirror.

The wide-angle lenses 12b and 12B of the light source units 12a and 12A have a function of expanding the light emitted by the light source units 12a and 12A to a wide-angle range (for example, a hemispherical range of 180 degrees around the imaging direction shown in FIG. 2). Has.

The wide-angle lenses 13b and 13B of the distance information acquisition unit 13 measure the reflected light of the light sources 12a and 12A projected by the projection unit 12 with respect to the wide-angle lens 13b and 13B whose front is the imaging direction shown in FIG. It is taken in from each direction (such as a 180-degree hemispherical range), and the light is imaged in the light receiving area of the TOF sensors 13a and 13A. The measurement range includes one or more projectiles (for example, a building), and the light reflected by the projectile (reflected light) is incident on the wide-angle lenses 13b and 13B. The reflected light may be captured, for example, by providing a filter that cuts light having a wavelength in the infrared region or higher on the entire surface of the wide-angle lenses 13b and 13B. Not limited to this, since it is sufficient that the light in the infrared region is incident on the light receiving area, a means for passing light having a wavelength in the infrared region such as a filter may be provided in the optical path from the wide-angle lenses 13b and 13B to the light receiving area. good.

The TOF sensors 13a and 13A are two-dimensional resolution optical sensors. The TOF sensors 13a and 13A have a light receiving area in which a large number of light receiving elements (photodiodes) are arranged in a two-dimensional direction. In this sense, it can be said to be a "second image receiving / receiving means". The TOF sensors 13a and 13A receive the reflected light of each area of the measurement range (each area is also called a position) by the light receiving element corresponding to each area, and the distance to each area based on the light detected by each light receiving element. Is measured (calculated).

In this embodiment, the distance is measured by the phase difference detection method. In the phase difference detection method, the measurement range is irradiated with laser light amplitude-modulated at the basic frequency, the reflected light is received and the phase difference between the irradiation light and the reflected light is measured to obtain the time, and the speed of light is obtained at that time. To calculate the distance. The strength of this method is that a certain level of resolution can be expected.

The TOF sensors 13a and 13A are driven in synchronization with the irradiation of light by the projection unit 12, and each light receiving element (corresponding to a pixel) calculates the distance corresponding to each pixel from the phase difference with the reflected light and converts it into pixel information. It outputs distance information image data (later also referred to as "distance image" or "TOF image") associated with information indicating the distance to each area within the measurement range. The TOF sensors 13a and 13A may output phase information image data in which phase information is associated with pixel information, and may acquire distance information image data based on the phase information image data in post-processing.

The number of areas in which the measurement range can be divided is determined by the resolution of the light receiving area. Therefore, when a low resolution is used for miniaturization, the number of pixel information of the distance image data is reduced, so that the number of three-dimensional point clouds is also reduced.

As another form, the distance may be measured by the pulse method instead of the phase difference detection method. In that case, for example, the light source units 12a and 12A emit an ultrashort pulse irradiation pulse P1 having a rise time of several nanoseconds (ns) and a strong optical peak power, and the TOF sensors 13a and 13A synchronize with this. The time (t) required to receive the reflected pulse P2, which is the reflected light of the irradiation pulse P1 emitted by the light source units 12a and 12A, is measured. When this method is adopted, for example, TOF sensors 13a and 13A on which a circuit for measuring time or the like is mounted on the output side of the light receiving element is used. In each circuit, the time required for the light source units 12a and 12A to receive the reflection pulse P2 after emitting the irradiation pulse P1 is converted into a distance for each light receiving element, and the distance to each area is obtained.

This method is suitable for widening the angle of the image pickup apparatus 1 because it can output strong light by using peak light. Further, when the light is shaken (scanned) by using a MEMS mirror or the like, strong light can be irradiated to a long distance while suppressing the spread, which leads to an increase in the measurement distance. In this case, the arrangement is such that the laser light emitted from the light source units 12a and 12A is scanned (deflected) toward the wide-angle lenses 12b and 12B by the MEMS mirror.

It is desirable that the effective angle of view of the imaging unit 11 and the effective angle of view of the distance information acquisition unit 13 match, for example, at 180 degrees or more, but they do not necessarily have to match. If necessary, the effective angle of view of the imaging unit 11 and the effective angle of view of the distance information acquisition unit 13 may be reduced. In this embodiment, the imaging unit 11 and the distance information acquisition unit 13 reduce the effective pixels within the range of, for example, 100 degrees to 180 degrees so that there is nothing that interferes with the angle of view. Further, the resolutions of the TOF sensors 13a and 13A may be set lower than the resolutions of the image pickup devices 11a and 11A in order to prioritize the miniaturization of the image pickup device 1. By making the TOF sensors 13a and 13A have a lower resolution than the image pickup elements 11a and 11A, it is possible to suppress an increase in the size of the light receiving area, which can lead to a miniaturization of the image pickup device 1. Therefore, the TOF sensors 13a and 13A have a low resolution, and the three-dimensional point cloud obtained by the TOF sensors 13a and 13A has a low density. It can be converted into a dimensional point cloud. The process of converting to a high-density three-dimensional point cloud in the processing circuit 14 will be described later.

In the present embodiment, as an example, the image sensor 11a, the light source unit 12a, and the TOF sensor 13a are provided so as to be aligned in a straight line in the longitudinal direction of the housing 10. Similarly, the image sensor 11A, the light source unit 12A, and the TOF sensor 13A are provided so as to be aligned in a straight line in the longitudinal direction of the housing 10. Hereinafter, an example of the image sensor 11a, the light source unit 12a, and the TOF sensor 13a will be described.

The image pickup area (imaging surface) of the image pickup device 11a and the light receiving area (light receiving surface) of the TOF sensor 13a may be arranged in a direction orthogonal to the longitudinal direction as shown in FIG. The optical path) may be arranged in the longitudinal direction by providing a prism or the like that converts the light path by 90 degrees to cause an incident. In addition to this, it may be arranged in any direction depending on the configuration. That is, the image sensor 11a, the light source unit 12a, and the TOF sensor 13a are arranged so as to cover the same measurement range. The imaging unit 11, the projection unit 12, and the distance information acquisition unit 13 are arranged from one side of the housing 10 toward the measurement range. At this time, the image sensor 11a and the TOF sensor 13a may be arranged on the same baseline so as to be parallel stereo. By arranging them in parallel stereo, parallax data can be obtained by using the output of the TOF sensor 13a even if there is only one image sensor 11a. The light source unit 12a is configured so that the measurement range of the TOF sensor 13a can be irradiated with light.

(Processing circuit)
Subsequently, the processing of the processing circuit 14 will be described. The TOF image obtained only by the TOF sensors 13a and 13A has a low resolution as it is. Therefore, in this example, an example in which the resolution is increased by the processing circuit 14 and high-density three-dimensional point cloud data is reconstructed is shown. In addition, a part or all of the following processing as "information processing means" in the processing circuit 14 may be performed by an external device.

As described above, the 3D point cloud data reconstructed by the image pickup device 1 is output to an external device such as a PC via a portable recording medium or communication, and is used for displaying the 3D restoration model. ..

As a result, it is possible to provide the image pickup device 1 which is excellent in portability by speeding up, downsizing, and weight reduction as compared with the case where the image pickup device 1 itself displays the three-dimensional restoration model.

However, after moving away from the site where the 3D information is acquired and restoring the 3D information by an external device, the image is reflected in the captured image of the photographer himself or the tripod, and the 3D information of the desired layout is acquired. You may notice that there is no such thing, and in that case, it takes time and effort to revisit the site where the 3D information is acquired.

To solve this, it is conceivable to bring a three-dimensional restoration device to the site, but doing so eliminates the merits of speeding up, downsizing, and weight reduction.

It is also conceivable to send the acquired 3D information to an external device via a communication line and receive the restored 3D information, but the merit of speeding up is lost and the 3D information has a large amount of information in the first place. Therefore, it is difficult to visually confirm the reflection on the captured image of the photographer himself or the tripod.

In particular, in the case of spherical three-dimensional information, it is extremely difficult to visually confirm the reflection on the captured image of the photographer himself or a tripod.

In view of the above problems, the present embodiment provides an image pickup device 1 that can easily confirm in real time that the image is reflected in a captured image of the photographer himself or a tripod, and that the three-dimensional information of a desired layout is not acquired. The purpose is to provide.

FIG. 3 is a diagram for explaining a usage situation of the image pickup apparatus in the same embodiment.

In the state shown in FIG. 3A, the photographer M and the selfie stick 1A supporting the image pickup device 1 are not included in the global celestial imaging range R, and the photographer M and the selfie stick 1A are all included. It does not appear in the captured image of the celestial sphere.

In the state shown in FIG. 3B, the photographer M is included in the spherical imaging range R, and the photographer M is reflected in the captured image of the spherical image.

In the state shown in FIG. 3C, the tripod 1B supporting the imaging device 1 is included in the spherical imaging range R, and the tripod 1B is reflected in the captured image of the spherical image.

In the state shown in FIG. 3D, the photographer M and the selfie stick 1A supporting the image pickup device 1 are not included in the spherical imaging range R, and the photographer M and the selfie stick 1A are all included. Although it does not appear in the captured image of the celestial sphere, it may be misjudged because the outside light is strong.

Further, in the states shown in FIGS. 3B and 3C, it is difficult to uniformly determine the presence or absence of reflection because the colors and types of the reflected objects and their appearance are various. rice field.

In response to the above situation, when determining the presence or absence of a specific object (proximity object) such as the photographer himself or a tripod based on the distance information image data output from the TOF sensors 13a and 13A, a truly specific object It was difficult to distinguish whether there was an image or the outside light was too strong.

That is, when the amount of electricity stored in the specific pixels of the TOF sensors 13a and 13A is saturated, it may be due to the presence of a specific object, or the intensity of the external light is too strong, or the TOF sensors 13a, 13A. It was difficult to distinguish from the output of.

In view of the above problems, the present embodiment can accurately confirm whether or not a specific object such as the photographer or a tripod is reflected in the captured image by distinguishing it from the influence of external light. The other purpose is to provide.

FIG. 4 is a diagram showing an example of the configuration of the processing block of the processing circuit 14. The processing circuit 14 shown in FIG. 4 includes a control unit 141, an RGB image data acquisition unit 142, a monochrome processing unit 143, a TOF image data acquisition unit 144, a high resolution unit 145, a matching processing unit 146, and the like. It is an example of a projection processing unit 147, a semantic segmentation unit 148, a parallax calculation unit 149, a three-dimensional reconstruction processing unit 150, a judgment unit 160, a display control unit 170 which is an example of an output unit, and an output unit. It has a transmission / reception unit 180. In FIG. 4, the solid line arrow indicates the signal flow, and the broken line arrow indicates the data flow.

When the control unit 141 receives an ON signal (shooting start signal) from the shooting switch 15, it outputs a synchronization signal to the image sensors 11a and 11A, the light source units 12a and 12A, and the TOF sensors 13a and 13A, and controls the entire processing circuit 14. do. The control unit 141 first outputs a signal instructing the light source units 12a and 12A to emit an ultrashort pulse, and outputs a signal instructing the TOF sensors 13a and 13A to generate TOF image data at the same timing. Further, the control unit 141 outputs a signal instructing the image pickup elements 11a and 11A to take an image. The image pickup by the image pickup devices 11a and 11A may be a period during which the light source units 12a and 12A are emitted, or may be the latest period before and after that period.

The RGB image data acquisition unit 142 acquires the RGB image data captured by the imaging elements 11a and 11A based on the imaging instruction by the control unit 141, and outputs the RGB image data of the entire celestial sphere. The monochrome processing unit 143 performs processing for aligning the data types for matching processing with the TOF image data obtained from the TOF sensors 13a and 13A. In this example, the monochrome processing unit 143 performs processing for converting RGB image data of the spherical image into a monochrome image of the spherical image.

The TOF image data acquisition unit 144 acquires the TOF image data generated by the TOF sensors 13a and 13A based on the TOF image data generation instruction by the control unit 141, and outputs the TOF image data of the entire celestial sphere.

The high-resolution unit 145 regards the TOF image data of the whole celestial sphere as a monochrome image and raises the resolution. Specifically, the high resolution unit 145 uses the value of the distance associated with each pixel of the TOF image data of the spherical image by replacing it with the value of the monochrome image of the spherical image (grayscale value). .. Further, the high resolution unit 145 raises the resolution of the monochrome image of the whole celestial sphere to the resolution of the RGB image data of the whole celestial sphere obtained from the image pickup devices 11a and 11A. The conversion to high resolution is performed, for example, by performing a normal up-conversion process. As another conversion method, for example, it is possible to acquire a plurality of frames of continuously generated TOF image data of all celestial spheres, add the distances of adjacent points using them, and perform super-resolution processing. good.

The matching processing unit 146 describes the feature amount of the textured portion of the monochrome image of the spherical image obtained by increasing the resolution of the TOF image data of the spherical image and the monochrome image of the spherical image of the RGB image data of the spherical image. Is extracted, and matching processing is performed according to the extracted feature amount. For example, the matching processing unit 146 extracts edges from each monochrome image and performs matching processing between the extracted edge information. As another method, for example, the matching process may be performed by a method such as SIFT that quantifies the change in texture. Here, the matching process means searching for the corresponding pixel.

As a specific method of matching processing, for example, there is block matching. Block matching is performed around the pixel value that is cut out as a block of M × M (M is a positive integer) pixel size around the pixel to be referenced, and around the pixel that is the center of the search in the other image. This is a method in which the similarity of pixel values cut out as a block of M × M pixels is calculated, and the central pixel having the highest similarity is set as the corresponding pixel.

There are various methods for calculating the degree of similarity. For example, an equation showing a normalized autocorrelation coefficient CNCC (NCC: Normalized Correlation Cooperative) may be used. The normalized autocorrelation coefficient CNCC indicates that the higher the numerical value, the higher the similarity, and it becomes 1 when the pixel values of the blocks are exactly the same.

Further, since the data of the distance of the textureless region can be obtained from the TOF image data of the spherical image, the matching process may be weighted according to the region. For example, in the calculation of the equation showing CNCC, the calculation may be performed by weighting the portion other than the edge (textureless region).

Further, instead of the formula indicating NCC, a selective normalization correlation (SCC) or the like may be used.

The reprojection processing unit 147 performs a process of reprojecting the TOF image data of the spherical image indicating the distance of each position in the measurement range onto the two-dimensional coordinates (screen coordinate system) of the imaging unit 11. Reprojection means finding the coordinates at which the three-dimensional points calculated by the TOF sensors 13a and 13A appear in the images of the image sensors 11a and 11A. The TOF image data of the whole celestial sphere indicates the position of a three-dimensional point in the coordinate system centered on the distance information acquisition unit 13 (mainly the wide-angle lenses 13b and 13B). Therefore, the three-dimensional points indicated by the TOF image data of the whole celestial sphere are reprojected on the coordinate system centered on the imaging unit 11 (mainly fisheye lenses 11b and 11B). For example, the reprojection processing unit 147 moves the coordinates of the three-dimensional points of the TOF image data of the whole celestial sphere in parallel with the coordinates of the three-dimensional points centered on the imaging unit 11, and after the parallel movement, the RGB image of the whole celestial sphere. The process of converting to the two-dimensional coordinate system (screen coordinate system) indicated by the data is performed.

The parallax calculation unit 149 calculates the parallax at each position from the deviation of the distance from the corresponding pixel obtained by the matching process.

The parallax matching process uses the reprojection coordinates converted by the reprojection processing unit 147 to search for peripheral pixels at the position of the reprojection coordinates, thereby shortening the processing time and achieving more detailed and high resolution. It becomes possible to acquire distance information.

Further, the segmentation data obtained by the semantic segmentation process of the semantic segmentation unit 148 may be used for the parallax matching process. In that case, it becomes possible to acquire more detailed and high-resolution distance information.

In addition, parallax matching processing is performed only on the edges and only the parts with strong features, and the TOF image data of the whole celestial sphere is also used for the other parts. May be used to perform propagation processing.

The semantic segmentation unit 148 uses deep learning to assign a segmentation label indicating an object to the input image of the measurement range. As a result, each pixel of the TOF image data of the spherical image can be constrained to any of a plurality of distance regions divided for each distance, so that the reliability of the calculation is further improved.

The three-dimensional reconstruction processing unit 145 acquires RGB image data of the entire celestial sphere from the RGB image data acquisition unit 142, and reconstructs the three-dimensional data of the entire celestial sphere based on the distance information output by the parallax calculation unit 149. , Outputs a high-density three-dimensional point group of all celestial spheres with color information added to each three-dimensional point. The three-dimensional reconstruction processing unit 150 is an example of a three-dimensional information determination unit that determines three-dimensional information.

The determination unit 160 acquires the RGB image data of the whole sky from the RGB image data acquisition unit 142, and the reprojection processing unit 147 converts the whole sky into the two-dimensional coordinate system indicated by the RGB image data of the whole sky. The TOF image data of the sphere is acquired, and based on these data, it is determined whether or not a specific object is reflected in the captured image, and the determination result is output to the display control unit 170.

The display control unit 170 acquires RGB image data of all celestial spheres from the RGB image data acquisition unit 142, and causes the display unit 20 to display two-dimensional image information based on the acquired RGB image data of all celestial spheres. Further, the display control unit 170 superimposes the information indicating the determination result acquired from the determination unit 160 on the two-dimensional image information and displays it on the display unit 20.

The display control unit 170 is an example of an output unit that outputs two-dimensional image information captured by the image pickup unit 11 separately from the three-dimensional information, and the display unit 20 is an example of an output destination that outputs two-dimensional image information. be.

The display control unit 170 may acquire the three-dimensional data of the whole celestial sphere from the three-dimensional reconstruction processing unit 145 and display the three-dimensional information on the display unit 20. Specifically, the display control unit 170 may select a case where the two-dimensional image information is displayed on the display unit 20 and a case where the three-dimensional information is displayed on the display unit 20 according to a predetermined condition. As a result, the display control unit 170 can output two-dimensional image information in addition to the three-dimensional information.

The transmission / reception unit 180 communicates with an external device by wired or wireless technology, and the three-dimensional data of the entire celestial sphere output from the three-dimensional reconstruction processing unit 145 and all output from the RGB image data acquisition unit 142. The two-dimensional image information of the celestial sphere is transmitted (output) to the external device 300 that performs the three-dimensional restoration processing via the network 400.

The transmission / reception unit 180 is an example of an output unit that outputs three-dimensional information, and the external device 300 is an example of an output destination that outputs three-dimensional information.

The transmission / reception unit 180 may not transmit the two-dimensional image information of the whole celestial sphere, but may transmit only the three-dimensional data of the whole celestial sphere. Further, the transmission / reception unit 180 may be configured by an interface circuit with a portable storage medium such as an SD card or a personal computer.

(Operation of processing circuit)
FIG. 5 is a flow chart showing an example of the operation of the processing circuit 14 of the image pickup apparatus 1. When the photographing switch 15 is turned on by the user and the photographing instruction signal is input, the control unit 141 of the processing circuit 14 performs an operation of generating a high-density three-dimensional point cloud by the following method (imaging processing method and An example of information processing method).

First, the control unit 141 drives the light source units 12a and 12A, the TOF sensors 13a and 13A, and the image pickup elements 11a and 11A to photograph the measurement range (step S1). Driven by the control unit 141, the light source units 12a and 12A irradiate infrared light (an example of a projection step), and the TOF sensors 13a and 13A receive the reflected light (an example of a light receiving step). Further, the image pickup devices 11a and 11A take an image of the measurement range at the timing of starting the driving of the light source units 12a and 12A or the period immediately before the same (an example of the image pickup step).

Next, the RGB image data acquisition unit 142 acquires RGB image data in the measurement range from the image pickup devices 11a and 11A (step S2). Then, the display control unit 170 acquires the RGB image data of the whole celestial sphere from the RGB image data acquisition unit 142, and displays the two-dimensional image information based on the acquired RGB image data of the celestial sphere on the display unit 20 (2). An example of a two-dimensional image information output step) (step S3).

The display control unit 170 causes the display unit 20 to display the two-dimensional image information of a part of the acquired RGB image data of the entire celestial sphere, and the two-dimensional display unit 20 is displayed by various inputs of the user. Change the area of image information. Various inputs of the user can be realized by providing an operation switch other than the photographing switch 15 and configuring the display unit 20 as an input unit such as a touch panel.

At this stage, the photographer has not acquired the image in the captured image of the photographer himself or the tripod, or the two-dimensional image information of the desired layout by the two-dimensional image information displayed on the display unit 20. Can be confirmed.

Next, the TOF image data acquisition unit 144 acquires TOF image data indicating the distance of each position in the two-dimensional region from the TOF sensors 13a and 13A (step S4).

Next, the monochrome processing unit 143 converts the RGB image data into a monochrome image (step S5). The TOF image data and the RGB image data have different data types for the distance data and the RGB data, respectively, and matching cannot be performed as they are. Therefore, first, each data is once converted into a monochrome image. The TOF image data is converted by the high resolution unit 145 by replacing the value indicating the distance of each pixel with the value of the monochrome image as it is before the high resolution.

Next, the high-resolution unit 145 increases the resolution of the TOF image data (step S6).

Next, the matching processing unit 146 extracts the feature amount of the textured portion of each monochrome image, and performs the matching process with the extracted feature amount (step S7).

Next, the determination unit 160 acquires the RGB image data of the entire celestial sphere from the RGB image data acquisition unit 142, and the reprojection processing unit 147 converts the entire celestial sphere into the two-dimensional coordinate system indicated by the RGB image data. TOF image data is acquired, and based on these data, it is determined whether or not a nearby object as a specific object is reflected in the captured image, and the determination result is output to the display control unit 170. The display control unit 170 superimposes the information indicating the determination result acquired from the determination unit 160 on the two-dimensional image information and displays it on the display unit 20 (an example of the display step) (step S8).

Next, the parallax calculation unit 149 calculates the parallax at each position from the deviation of the distances of the corresponding pixels (step S9).

Then, the three-dimensional reconstruction processing unit 145 acquires the RGB image data from the RGB image data acquisition unit 142, reconstructs the three-dimensional data based on the distance information output by the parallax calculation unit 149, and converts the three-dimensional data into each three-dimensional point. A high-density three-dimensional point cloud to which color information is added is output (step S10).

Next, the transmission / reception unit 180 is an external device that performs three-dimensional restoration processing of the three-dimensional data output from the three-dimensional reconstruction processing unit 145 and the two-dimensional image information output from the RGB image data acquisition unit 142 via the network 400. It is transmitted to 300 (an example of a three-dimensional information output step) (step S11).

The transmission / reception unit 180 may transmit the three-dimensional data output from the three-dimensional reconstruction processing unit 145 without transmitting the two-dimensional image information output from the RGB image data acquisition unit 142.

As described above, the image pickup apparatus 1 includes an image pickup unit 11 and a display control unit 170 that outputs two-dimensional image information captured by the image pickup unit 11 in addition to the three-dimensional information.

As a result, it is easy to confirm from the 2D image information that the image is reflected in the captured image of the photographer himself or the tripod, and that the 3D information of the desired layout is not acquired without confirming the 3D information. Will be possible.

Therefore, it is possible to reacquire the 3D information while being at the site where the 3D information is acquired, and after leaving the site where the 3D information is acquired, the image is taken on the photographer himself or the captured image of a tripod or the like. Compared to the case of crowding or noticing that the 3D information of the desired layout has not been acquired, the time and effort to visit the site for acquiring the 3D information again is reduced.

The three-dimensional information includes spherical three-dimensional information. In this case, even in the case of all-sky 3D information, which is difficult to confirm that the image is reflected in the captured image of the photographer himself or a tripod, or that the 3D information of the desired layout is not acquired. It is possible to easily confirm from the two-dimensional image information captured by the imaging unit 11 that the image is reflected in the captured image of itself, a tripod, or the like, and that the three-dimensional information of the desired layout is not acquired.

The display control unit 170 outputs the two-dimensional image information G in step S3 before the transmission / reception unit 180 transmits (outputs) the three-dimensional information in step S11. The display control unit 170 outputs the two-dimensional image information G in step S3 before the three-dimensional reconstruction processing unit 150 determines the three-dimensional information in step S10.

As a result, it is necessary to confirm from the 2D image information before confirming the 3D information that the photographer himself or the tripod is reflected in the captured image and the 3D information of the desired layout is not acquired. Becomes possible.

The display control unit 170 causes the display unit 20 to display two-dimensional image information. The image pickup apparatus 1 includes a display unit 20.

As a result, it is possible to easily confirm from the two-dimensional image information displayed on the display unit 20 that the photographer himself or the tripod is reflected in the captured image and that the three-dimensional information of the desired layout is not acquired. Becomes possible.

The display control unit 170 outputs the two-dimensional image information to the display unit 20, which is different from the external device 300 from which the transmission / reception unit 180 outputs the three-dimensional information.

As a result, it is possible to confirm that the image is reflected in the captured image of the photographer himself or the tripod, and that the three-dimensional information of the desired layout has not been acquired, without checking the three-dimensional information output to the external device 300. It is possible to confirm from the two-dimensional image information output to the display unit 20 different from the device 300.

The image pickup apparatus 1 includes a three-dimensional reconstruction processing unit 150 that determines three-dimensional information based on the output of the distance information acquisition unit 13. The three-dimensional reconstruction processing unit 150 determines the three-dimensional information based on the output of the distance information acquisition unit 13 and the two-dimensional image information.

As a result, the 3D information determined by the 3D reconstruction processing unit 150 is confirmed that the image is reflected in the captured image of the photographer himself or the tripod, and that the 3D information of the desired layout is not acquired. It is possible to confirm from the two-dimensional image information captured by the imaging unit 11 without any problem.

FIG. 6 is a spherical image data generation flow diagram in the same embodiment.

FIG. 6A is a flowchart showing a process of generating RGB image data of the spherical image corresponding to step S2 described with reference to FIG.

The RGB image data acquisition unit 142 inputs two RGB image data in the fisheye image format (step S201).

The RGB image data acquisition unit 142 converts each RGB image data into an equirectangular image format (step S202). The RGB image data acquisition unit 142 converts the two RGB image data into a regular distance cylindrical image format based on the same coordinate system, thereby facilitating image combination in the next step.

Here, the equirectangular image format will be described. The equirectangular image format is a method capable of expressing a spherical image, and is a format of an image (equirectangular image) created by using the equirectangular projection. The equirectangular projection is a projection that represents a three-dimensional direction with two variables, such as the latitude and longitude of a globe, and is displayed in a plane so that the latitude and longitude are orthogonal to each other. Therefore, the equirectangular image is an image generated by using the equirectangular projection, and is represented by coordinates with two angular variables in the spherical coordinate system as two axes.

The RGB image data acquisition unit 142 combines the two RGB image data generated in step S202 to generate one all-sky RGB image data (step S203). The two input RGB image data cover an area having a total angle of view of more than 180 degrees. Therefore, the spherical RGB image data generated by appropriately connecting the two RGB image data can cover the spherical region.

The combination process in step S203 can use an existing technique for connecting a plurality of images, and the method is not particularly limited.

FIG. 6B is a flowchart showing a processing of generating TOF image data of the spherical image corresponding to step S4 described with reference to FIG.

The TOF image data acquisition unit 144 acquires two distance image data in the fisheye image format (step S401).

The TOF image data acquisition unit 144 converts each of the two TOF image data in the fisheye image format into an equirectangular image format (step S402). As described above, the equirectangular image format is a method capable of expressing a spherical image. In this step S402, by converting the two TOF image data into an equirectangular image format based on the same coordinate system, the image combination in the next step S403 is facilitated.

The TOF image data acquisition unit 144 combines the two TOF image data generated in step S402 to generate one spherical TOF image data (step S403). The two input TOF image data cover an area having a total angle of view of more than 180 degrees. Therefore, the spherical TOF image data generated by appropriately connecting the two TOF image data can cover the spherical region.

The combination process in step S403 can use an existing technique for connecting a plurality of images, and the method is not particularly limited.

FIG. 7 is a proximity object determination flow diagram in the same embodiment.

FIG. 7 is a flowchart showing a process of determining whether or not a nearby object is reflected in the captured image corresponding to step S8 described with reference to FIG.

Based on the TOF image data of the spherical image acquired from the reprojection processing unit 147, the determination unit 160 determines whether or not there are pixels in the TOF image data of the spherical image in which the amount of electricity stored is saturated (step S801). ..

When there is a pixel whose storage amount is saturated in step S801, the determination unit 160 is based on the RGB image data of the whole celestial sphere acquired from the RGB image data acquisition unit 142, and among the RGB image data of the whole celestial sphere. It is determined whether or not the stored amount is saturated with respect to the pixel having the same coordinates as the pixel whose stored amount is saturated in step S801 (step S802).

When the storage amount is saturated in step S802, the determination unit 160 determines that the pixel whose storage amount is saturated in step S801 is due to external light, and outputs error information to the display control unit 170. .. The display control unit 170 superimposes the error information on the two-dimensional image information and displays it on the display unit 20 based on the error information acquired from the determination unit 160 (step S803).

When the storage amount is not saturated in step S802, the determination unit 160 determines that the pixel whose storage amount is saturated in step S801 is due to the presence of a nearby object, and the storage amount is saturated in step S801. The coordinate position information of the pixel is output to the display control unit 170. The display control unit 170 superimposes the identification information for identifying a nearby object on the two-dimensional image information and displays it on the display unit 20 based on the coordinate position information of the pixels acquired from the determination unit 160 (step S804).

When there is no pixel whose storage amount is saturated in step S801, the determination unit 160 determines 0 of the TOF image data of the whole celestial sphere based on the TOF image data of the whole celestial sphere acquired from the reprojection processing unit 147. It is determined whether there is a pixel showing distance information of .5 m or less (step S805).

If there is no pixel indicating the distance information of 0.5 m or less in step S805, the determination unit 160 ends the process.

If there is a pixel showing distance information of 0.5 m or less in step S805, the determination unit 160 proceeds to step S804 described above, and the pixel showing distance information of 0.5 m or less in step S805 depends on the presence of a nearby object. It is determined that this is the case, and the coordinate position information of the pixel indicating the distance information of 0.5 m or less in step S805 is output to the display control unit 170. The display control unit 170 superimposes the identification information for identifying a nearby object on the two-dimensional image information and displays it on the display unit 20 based on the coordinate position information of the pixels acquired from the determination unit 160.

As described above, the display control unit 170 superimposes the identification information on the two-dimensional image information when it determines that a nearby object exists, and superimposes the identification information on the two-dimensional image information when it does not determine that a nearby object exists. Do not superimpose on.

That is, the display control unit 170 causes the display unit 20 to display differently depending on the presence or absence of a nearby object.

Further, the display control unit 170 superimposes the identification information for identifying a nearby object on the two-dimensional image information and displays it on the display unit 20 based on the coordinate position information of the pixels acquired from the determination unit 160.

That is, the display control unit 170 causes the display unit 20 to display different positions according to the positions of nearby objects.

FIG. 8 is a diagram for explaining the display contents of the display unit in the same embodiment.

FIG. 8 is an explanatory diagram corresponding to step S2 shown in FIG. 5, step S803 and step S804 shown in FIG. 7.

Two-dimensional image information G is displayed on the display unit 20 by the display control unit 170. Further, on the display unit 20, the display control unit 170 displays the identification information G1 and G2 for identifying nearby objects and the error information G3 superimposed on the two-dimensional image information G, respectively.

As described above, the image pickup apparatus 1 includes an image pickup unit 11 that images an object, a projection unit 12 that projects light onto the object, a distance information acquisition unit 13 that receives light reflected from the object, and a distance information acquisition unit. A display control unit 170 that causes the display unit 20 to display differently depending on the output of the unit 13 and the output of the imaging unit 11 and the presence / absence of a nearby object determined based on the output is provided.

As a result, the photographer can accurately confirm whether or not the photographer himself or a nearby object such as a tripod is reflected in the captured image, distinguishing from the influence of external light.

The image pickup apparatus 1 includes a display unit 20. As a result, the photographer can surely confirm whether or not a close object is reflected in the captured image.

The display control unit 170 causes the display unit 20 to display different positions according to the positions of nearby objects. This allows the photographer to confirm the position of the reflection of a nearby object in the captured image.

The display control unit 170 displays the image information G imaged by the image pickup unit 11 on the display unit 20, and superimposes the identification information G1 and G2 for identifying nearby objects on the image information to display the image information G on the display unit 20. As a result, the photographer can surely confirm the position of the image of the close object in the captured image.

The image pickup device 1 determines that there is a nearby object when the amount of electricity stored by the light received by the distance information acquisition unit 13 is saturated and the amount of electricity stored in the pixels of the image pickup unit 11 is not saturated. Be prepared.

As a result, the photographer can accurately confirm whether or not a nearby object is reflected in the captured image, distinguishing it from the influence of external light.

FIG. 9 is a diagram showing the appearance of the image pickup apparatus according to the modified example of the same embodiment. FIG. 10 is a diagram showing a configuration of a processing block of a processing circuit in a modified example.

In this modification, the display control unit 170 acquires the RGB image data of the whole celestial sphere from the RGB image data acquisition unit 142, and displays the two-dimensional image information based on the acquired RGB image data of the celestial sphere on the display device 500. Displayed in unit 520. The display unit 520 is an example of an output destination that outputs two-dimensional image information.

As a result, it is possible to easily confirm from the two-dimensional image information displayed on the display unit 520 that the photographer himself or the tripod is reflected in the captured image and that the three-dimensional information of the desired layout is not acquired. Becomes possible.

The display control unit 170 outputs the two-dimensional image information to the display unit 520, which is different from the external device 300 from which the transmission / reception unit 180 outputs the three-dimensional information.

As a result, it is possible to confirm that the image is reflected in the captured image of the photographer himself or the tripod, and that the three-dimensional information of the desired layout has not been acquired, without checking the three-dimensional information output to the external device 300. It is possible to confirm from the two-dimensional image information output to the display unit 520 different from the device 300.

The display control unit 170 may acquire three-dimensional data of the whole celestial sphere from the three-dimensional reconstruction processing unit 145 and display the three-dimensional information on the display unit 520. Specifically, the display control unit 170 may select a case where the two-dimensional image information is displayed on the display unit 520 and a case where the three-dimensional information is displayed on the display unit 520 according to a predetermined condition. As a result, the display control unit 170 can output two-dimensional image information in addition to the three-dimensional information.

The display control unit 170 superimposes the error information on the two-dimensional image information and displays it on the display unit 520 based on the error information acquired from the determination unit 160.

The display control unit 170 superimposes the identification information for identifying a nearby object on the two-dimensional image information and displays it on the display unit 520 based on the coordinate position information of the pixels acquired from the determination unit 160.

That is, the display control unit 170 causes the display unit 520 to display differently depending on the presence or absence of a nearby object determined based on the output of the distance information acquisition unit 13 and the output of the imaging unit 11.

As a result, the photographer can accurately confirm whether or not the photographer himself or a nearby object such as a tripod is reflected in the captured image, distinguishing from the influence of external light.

The display control unit 170 causes the display unit 520 to display different positions according to the positions of nearby objects. This allows the photographer to confirm the position of the reflection of a nearby object in the captured image.

The display control unit 170 causes the display unit 520 to display the image information captured by the image pickup unit 11, and causes the display unit 520 to superimpose the identification information for identifying a nearby object on the image information. As a result, the photographer can surely confirm the position of the image of the close object in the captured image.

FIG. 11 is a diagram showing the appearance of the image pickup apparatus according to the second modification of the embodiment of the present invention. FIG. 12 is a diagram showing a configuration of a processing block of the processing circuit in the second modification.

In the second modification shown in FIG. 11, the image pickup apparatus 1 includes a plurality of display units 20A and 20a in place of the display unit 20 shown in FIG. The display units 20A and 20a are composed of LEDs and the like, and blink or light according to the output signal of the processing circuit 14.

The display unit 20a is provided on the first surface on the front side of the housing 10, and the display unit 20A is provided on the second surface on the back side of the housing 10.

In the second modification shown in FIG. 12, the display control unit 170 causes the display units 20A and 20a to display information indicating the determination result acquired from the determination unit 160.

Further, the transmission / reception unit 180 transmits (outputs) the two-dimensional image information of the spherical image output from the RGB image data acquisition unit 142 to the display device 500 via the network 400. The display device 500 is an example of an output destination that outputs two-dimensional image information.

That is, in the second modification, in step S3 shown in FIG. 5, the transmission / reception unit 180 acquires the RGB image data of the whole celestial sphere from the RGB image data acquisition unit 142, and the acquired RGB image data of the whole celestial sphere. The two-dimensional image information based on the above is transmitted (output) to the display device 500.

The transmission / reception unit 510 of the display device 500 receives the two-dimensional image information transmitted from the transmission / reception unit 180 of the image pickup device 1.

The control unit 530 of the display device 500 causes the display unit 520 to display the two-dimensional image information received by the transmission / reception unit 510.

As described above, the image pickup apparatus 1 includes an image pickup unit 11 and a transmission / reception unit 180 that outputs two-dimensional image information captured by the image pickup unit 11 in addition to the three-dimensional information.

As a result, it is easy to confirm from the 2D image information that the image is reflected in the captured image of the photographer himself or the tripod, and that the 3D information of the desired layout is not acquired without confirming the 3D information. Will be possible.

Therefore, it is possible to reacquire the 3D information while being at the site where the 3D information is acquired, and after leaving the site where the 3D information is acquired, the image is taken on the photographer himself or the captured image of a tripod or the like. Compared to the case of crowding or noticing that the 3D information of the desired layout has not been acquired, the time and effort to visit the site for acquiring the 3D information again is reduced.

The transmission / reception unit 180 transmits (outputs) the two-dimensional image information G in step S3 before transmitting (outputting) the three-dimensional information in step S11. The transmission / reception unit 180 transmits (outputs) the two-dimensional image information G in step S3 before the three-dimensional reconstruction processing unit 150 determines the three-dimensional information in step S10.

As a result, it is necessary to confirm from the 2D image information before confirming the 3D information that the photographer himself or the tripod is reflected in the captured image and the 3D information of the desired layout is not acquired. Becomes possible.

The transmission / reception unit 180 transmits the two-dimensional image information to the display device 500, and the display device 500 causes the display unit 520 to display the two-dimensional image information.

As a result, it is possible to easily confirm from the two-dimensional image information displayed on the display unit 520 that the photographer himself or the tripod is reflected in the captured image and that the three-dimensional information of the desired layout is not acquired. Becomes possible.

The transmission / reception unit 180 transmits the two-dimensional image information to the display device 500 different from the external device 300 that outputs the three-dimensional information.

As a result, the image is reflected in the captured image of the photographer himself or the tripod, and the fact that the three-dimensional information of the desired layout has not been acquired can be confirmed from the outside without checking the three-dimensional information output to the external device 300. It is possible to confirm from the two-dimensional image information output to the display unit 520 of the display device 500, which is different from the device 300.

The transmission / reception unit 180 may transmit the three-dimensional information to the display device 500. Specifically, the transmission / reception unit 180 may select a case where the two-dimensional image information is transmitted to the display device 500 and a case where the three-dimensional information is transmitted to the display device 500 according to a predetermined condition. As a result, the transmission / reception unit 180 can transmit the two-dimensional image information to the display device 500 in addition to the three-dimensional information.

FIG. 13 is a proximity object determination flow diagram in the second modification.

FIG. 13 is a flowchart showing a process of determining whether or not a nearby object is reflected in the captured image corresponding to step S8 described in FIG. 5 in the second modification.

Based on the TOF image data of the spherical image acquired from the reprojection processing unit 147, the determination unit 160 determines whether or not there are pixels in the TOF image data of the spherical image in which the amount of electricity stored is saturated (step S811). ..

When there is a pixel whose storage amount is saturated in step S811, the determination unit 160 is based on the RGB image data of the whole celestial sphere acquired from the RGB image data acquisition unit 142, and among the RGB image data of the whole celestial sphere, It is determined whether or not the stored amount of the pixel is saturated with respect to the pixel having the same coordinates as the pixel whose stored amount is saturated in step S811 (step S812).

When the storage amount is saturated in step S812, the determination unit 160 determines that the pixel whose storage amount is saturated in step S811 is due to external light, and outputs error information to the display control unit 170. .. The display control unit 170 causes the display units 20A and 20a to display the error information based on the error information acquired from the determination unit 160 (step S813).

When the storage amount is not saturated in step S812, the determination unit 160 determines that the pixel whose storage amount is saturated in step S811 is due to the presence of a nearby object, and the storage amount is saturated in step S811. The coordinate position information of the pixel is output to the display control unit 170. The display control unit 170 determines whether the coordinate position information is on the front side of the housing 10 based on the coordinate position information of the pixels acquired from the determination unit 160 (step S814).

When there is no pixel whose storage amount is saturated in step S811, the determination unit 160 has 0 of the TOF image data of all celestial spheres based on the TOF image data of all celestial spheres acquired from the reprojection processing unit 147. It is determined whether there is a pixel showing distance information of .5 m or less (step S815).

If there is no pixel indicating the distance information of 0.5 m or less in step S815, the determination unit 160 ends the process.

If there is a pixel showing distance information of 0.5 m or less in step S815, the determination unit 160 proceeds to step S814 described above, and the pixel showing distance information of 0.5 m or less in step S815 depends on the presence of a nearby object. It is determined that this is the case, and the coordinate position information of the pixel indicating the distance information of 0.5 m or less in step S815 is output to the display control unit 170. The display control unit 170 determines whether the coordinate position information is on the front side of the housing 10 based on the coordinate position information of the pixels acquired from the determination unit 160.

When the display control unit 170 determines in step S814 that it is on the front side, the display control unit 170 blinks the display unit 20a arranged on the front side of the housing 10 (step S816).

If the display control unit 170 does not determine in step S814 that it is on the front side, the display control unit 170 blinks the display unit 20A arranged on the back side of the housing 10 (step S817).

As described above, the display control unit 170 blinks the display unit 20a or the display unit 20A when it is determined that a nearby object exists, and the display unit 20a and the display unit 20A when it does not determine that a nearby object exists. Do not blink.

That is, the display control unit 170 causes the display unit 20a and the display unit 20A to display differently depending on the presence or absence of a nearby object.

As a result, the photographer can accurately confirm whether or not the photographer himself or a nearby object such as a tripod is reflected in the captured image, distinguishing from the influence of external light.

Further, the display control unit 170 blinks the display unit 20a or the display unit 20A based on the coordinate position information of the pixels acquired from the determination unit 160.

That is, the display control unit 170 causes the display unit 20a and the display unit 20A to display different positions according to the positions of nearby objects. This allows the photographer to confirm the position of the reflection of a nearby object in the captured image.

Then, the display control unit 170 causes the display unit of the display units 20A and 20a on the side closer to the nearby object to display differently depending on the presence or absence of the nearby object. As a result, the photographer can surely confirm the position of the reflection of a specific object in the captured image.

FIG. 14 is a diagram for explaining a configuration of an image pickup apparatus according to a third modification of the embodiment of the present invention.

In the third modification shown in FIG. 14, in addition to the configuration shown in FIG. 2, the image pickup device 1 has other image pickup elements 111a, 111A, other fisheye lenses (wide-angle lenses) 111b, 111B, and the like. The image pickup unit 111 is provided.

In the third modification, the RGB imaging unit 11 and the other imaging unit 111 are provided on the same baseline. In this case, the processing circuit 14 enables multi-eye processing. That is, RGB images of two viewpoints can be obtained by simultaneously driving the image pickup unit 11 and the other image pickup unit 111 provided at a predetermined distance on one surface. Therefore, the parallax calculated based on the two RGB images can be used, and the distance accuracy of the entire measurement range can be further improved.

Specifically, when the RGB imaging unit 11 and another imaging unit 111 are provided, multi-baseline stereo (MSB) using SSSD, EPI processing, and the like can be used as in the conventional parallax calculation. Therefore, by using this, the reliability of parallax is increased, and it becomes possible to realize high spatial resolution and accuracy.

As described above, the imaging device 1 includes another imaging unit 111, and the three-dimensional reconstruction processing unit 150 is imaged by the output of the distance information acquisition unit 13, the two-dimensional image information, and the other imaging unit 111. The 3D information is determined based on the other 2D image information.

The image pickup device 1 does not depend on the output of the distance information acquisition unit 13, but has three-dimensional information based on the other image pickup unit 111, the two-dimensional image information, and the other two-dimensional image information captured by the other image pickup unit 111. It may be provided with a three-dimensional information determination unit for determining the above.

As a result, the 3D reconstruction processing unit 150 determines that the image is reflected in the captured image of the photographer himself or the tripod, and that the 3D information of the desired layout has not been acquired based on the 2D image information. It is possible to confirm from the two-dimensional image information captured by the imaging unit 11 without confirming the three-dimensional information.

As described above, the image pickup apparatus 1 according to the embodiment of the present invention includes an image pickup unit 11 that images an object, a projection unit 12 that projects light onto the object, and distance information that receives light reflected from the object. Different displays on the display units 20 and 520 depending on the presence or absence of a specific object determined based on the output of the acquisition unit 13 (an example of the light receiving unit), the output of the distance information acquisition unit 13, and the output of the imaging unit 11. The display control unit 170 is provided.

As a result, the photographer can accurately confirm whether or not a specific object such as the photographer himself or a tripod is reflected in the captured image, distinguishing from the influence of external light.

The image pickup apparatus 1 includes a display unit 20. As a result, the photographer can surely confirm whether or not a specific object is reflected in the captured image.

The display control unit 170 causes the display units 20 and 520 to display different positions according to the position of a specific object. This allows the photographer to confirm the position of the reflection of a specific object in the captured image.

The display unit 20 includes a plurality of display units 20A and 20a, and the display control unit 170 differs depending on the presence or absence of the object on the display unit closer to the specific object among the plurality of display units 20A and 20a. Display it. As a result, the photographer can surely confirm the position of the reflection of a specific object in the captured image.

The display control unit 170 displays the image information G imaged by the image pickup unit 11 on the display units 20 and 520, and superimposes the identification information G1 and G2 for identifying a specific object on the image information to display the display units 20, 520. To display. As a result, the photographer can surely confirm the position of the reflection of a specific object in the captured image.

The image pickup device 1 determines that there is a specific object when the amount of electricity stored by the light received by the distance information acquisition unit 13 is saturated and the amount of electricity stored in the pixels of the image pickup unit is not saturated. To be equipped.

As a result, the photographer can accurately confirm whether or not a specific object is reflected in the captured image, distinguishing it from the influence of external light.

1 Imaging device (an example of information processing device)
10 Housing 11 Image sensor 11a, 11A Image sensor 11b, 11B Fisheye lens 12 Projection unit 12a, 12A Light source unit 12b, 12B Wide-angle lens 13 Distance information acquisition unit (example of light receiving unit)
13a, 13A TOF sensor 13b, 13B Wide-angle lens 14 Processing circuit 15 Shooting switch 20 Display unit 20A, 20a Display unit 111 Other imaging unit 150 3D reconstruction processing unit (example of 3D information determination unit)
160 Judgment unit 170 Display control unit (example of output unit)
180 Transmitter / receiver (example of output)
300 External device (example of output destination)
500 display device (example of output destination)
520 display unit (example of output destination)
L sync signal line

JP-A-2018-077071 Japanese Patent No. 5423287

Claims (7)

An imaging unit that captures an object and
A projection unit that projects light onto the target,
A light receiving unit that receives the light reflected from the object and
A display control unit that causes the display unit to display differently depending on the presence or absence of a specific object determined based on the output of the light receiving unit and the output of the imaging unit.
Imaging device equipped with. The imaging device according to claim 1, further comprising the display unit. The imaging device according to claim 1 or 2, wherein the display control unit causes the display unit to display different positions according to the position of the specific object. The display unit includes a plurality of display units.
The imaging device according to claim 4, wherein the display control unit causes the display unit on the side closer to the specific object among the plurality of display units to display differently depending on the presence or absence of the object. The display control unit displays the image information captured by the imaging unit on the display unit, and superimposes the identification information for identifying the specific object on the image information to display the image information on the display unit. 4. The imaging device according to any one of 4. A claim including a determination unit for determining that there is a specific object when the amount of electricity stored by the light received by the light receiving unit is saturated and the amount of electricity stored in the pixels of the imaging unit is not saturated. The imaging apparatus according to any one of 1 to 5. An imaging step in which an object is imaged by an imaging unit,
A projection step that projects light onto the target,
A light receiving step in which the light reflected from the target is received by the light receiving unit, and
An imaging processing method comprising: an output of the light receiving unit, an output of the imaging unit, and a display step of displaying differently depending on the presence or absence of a specific object determined based on the output.

Images