CN108737716A - Image pickup method, device and smart machine - Google Patents
Image pickup method, device and smart machine Download PDFInfo
- Publication number
- CN108737716A CN108737716A CN201810235479.5A CN201810235479A CN108737716A CN 108737716 A CN108737716 A CN 108737716A CN 201810235479 A CN201810235479 A CN 201810235479A CN 108737716 A CN108737716 A CN 108737716A
- Authority
- CN
- China
- Prior art keywords
- picture
- view
- finding
- image
- imaging object
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
- H04N23/60—Control of cameras or camera modules
- H04N23/667—Camera operation mode switching, e.g. between still and video, sport and normal or high- and low-resolution modes
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
- H04N23/60—Control of cameras or camera modules
- H04N23/61—Control of cameras or camera modules based on recognised objects
- H04N23/611—Control of cameras or camera modules based on recognised objects where the recognised objects include parts of the human body
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
- H04N23/60—Control of cameras or camera modules
- H04N23/63—Control of cameras or camera modules by using electronic viewfinders
Landscapes
- Engineering & Computer Science (AREA)
- Multimedia (AREA)
- Signal Processing (AREA)
- Studio Devices (AREA)
Abstract
The present invention proposes a kind of image pickup method, device and smart machine, wherein method includes：When smart machine is in continuous photographing mode, it detects whether collected picture of finding a view meets preset condition, when meeting preset condition, determines the similarity found a view between picture and the image shot, when similarity is not higher than threshold value, control smart machine executes shooting action.It realizes when smart machine is in continuous photographing mode, by determining that picture of finding a view meets preset condition, and the similarity found a view between picture and the image shot be not higher than threshold value when, it is automatically snapped, it solves in the related technology, when being continuously shot, need through user's manual operation come the problem of realization.
Description
Technical field
The present invention relates to a kind of technical field of mobile terminals more particularly to image pickup method, device and smart machines.
Background technology
With the development of image sensor technologies, shooting is more and more universal in people's lives, and people are remembered by shooting
Record lower splendid moment.
People can meet user's need in daily life, under the static scene of subject, shooting single image
It asks, and is under dynamic scene for subject, shooting single image often can not accurately collect the picture of user's needs,
It needs to be continuously shot shooting picture, therefrom chooses satisfied image.
In the related technology, it when being continuously shot, often shoots a photo and user is just needed to trip manually once, Yong Hucao
Make cumbersome, and can not often capture required picture, user satisfaction is poor.
Invention content
The present invention is directed to solve at least some of the technical problems in related technologies.
For this purpose, the present invention proposes a kind of image pickup method, to realize in continuous photographing mode, meet in picture of finding a view default
Condition, and when the similarity found a view between picture and the image shot is less than threshold value, automatically snapped, to continuously clapping
When taking the photograph, user's manual operation is avoided, while avoiding the case where same action is repeatedly shot and occurring.
The present invention proposes a kind of filming apparatus.
The present invention proposes a kind of smart machine
The present invention proposes a kind of computer equipment.
The present invention proposes a kind of computer readable storage medium.
One aspect of the present invention embodiment proposes a kind of image pickup method, including：
When smart machine is in continuous photographing mode, detect whether collected picture of finding a view meets preset condition；
When meeting preset condition, determine described in the similarity found a view between picture and the image shot；
When the similarity is not higher than threshold value, control smart machine executes shooting action.
In the image pickup method of the embodiment of the present invention, when smart machine is in continuous photographing mode, detection is collected to be taken
Whether scape picture meets preset condition, and when meeting preset condition, determination is found a view similar between picture and the image shot
Degree, when similarity is not higher than threshold value, control smart machine executes shooting action.It realizes and is continuously shot when smart machine is in
When pattern, by determining that picture of finding a view meets preset condition, and the similarity found a view between picture and the image shot is not high
It when threshold value, is automatically snapped, is solved in the related technology, when being continuously shot, needed manual by user
Operation is come the problem of realization.
Another aspect of the invention embodiment proposes a kind of filming apparatus, including：
Detection module, for when smart machine is in continuous photographing mode, whether the collected picture of finding a view of detection to be full
Sufficient preset condition；
Determining module, for when meeting preset condition, determine described in the phase found a view between picture and the image that has shot
Like degree；
Taking module, for when the similarity is not higher than threshold value, control smart machine to execute shooting action.
In the filming apparatus of the embodiment of the present invention, detection module is used for when smart machine is in continuous photographing mode, inspection
Survey whether collected picture of finding a view meets preset condition, determining module is used for when meeting preset condition, determines picture of finding a view
With the similarity between the image that has shot, taking module is used for when similarity is not higher than threshold value, and control smart machine executes
Shooting action.It realizes when smart machine is in continuous photographing mode, by determining that picture of finding a view meets preset condition, and takes
When similarity between scape picture and the image shot is not higher than threshold value, automatically snapped, solve in the related technology, when
When being continuously shot, need through user's manual operation come the problem of realization.
Another aspect of the invention embodiment proposes a kind of smart machine, including：Memory, processor and it is stored in storage
On device and the computer program that can run on a processor, when the processor executes described program, realize as preceding method is real
Apply the image pickup method described in example.
Another aspect of the invention embodiment proposes a kind of computer readable storage medium, is stored thereon with computer journey
Sequence realizes the image pickup method described in preceding method embodiment when being executed by a processor.
The additional aspect of the present invention and advantage will be set forth in part in the description, and will partly become from the following description
Obviously, or practice through the invention is recognized.
Description of the drawings
Above-mentioned and/or additional aspect and advantage of the invention will become from the following description of the accompanying drawings of embodiments
Obviously and it is readily appreciated that, wherein：
A kind of flow diagram for image pickup method that Fig. 1 is provided by the embodiment of the present invention；
The flow diagram for another image pickup method that Fig. 2 is provided by the embodiment of the present invention；
The flow diagram for another image pickup method that Fig. 3 is provided by the embodiment of the present invention；
Fig. 4 is a kind of structural schematic diagram of filming apparatus provided in an embodiment of the present invention；And
Fig. 5 is the structural schematic diagram of the smart machine 10 of the embodiment of the present invention.
Specific implementation mode
The embodiment of the present invention is described below in detail, examples of the embodiments are shown in the accompanying drawings, wherein from beginning to end
Same or similar label indicates same or similar element or element with the same or similar functions.Below with reference to attached
The embodiment of figure description is exemplary, it is intended to for explaining the present invention, and is not considered as limiting the invention.
Below with reference to the accompanying drawings the image pickup method, device and smart machine of the embodiment of the present invention are described.
A kind of flow diagram for image pickup method that Fig. 1 is provided by the embodiment of the present invention, the side that the present embodiment is provided
Method can be executed by smart machine.The smart machine includes but not limited to：Mobile terminal, personal digital assistant, robot etc..
Step 101, when smart machine is in continuous photographing mode, it is default whether the collected picture of finding a view of detection meets
Condition.
Specifically, under the continuous photographing mode of smart machine, according to the picture of finding a view of nearest collected predetermined number
Between similarity, recognize in the case that imaging object remains static, it is determined that picture of finding a view meets preset condition；
And/or in the case of according to picture of finding a view identifying that the posture of imaging object meets preset posture, it is pre- to determine that picture of finding a view meets
If condition；And/or when the picture quality for picture of finding a view meets pre-set image quality requirements, it is default to determine that picture of finding a view meets
Condition.
Step 102, when meeting preset condition, the similarity found a view between picture and the image shot is determined.
Specifically, when the collected picture of finding a view of detection meets preset condition, imaging object in currently finding a view picture is determined
Posture, and determine the posture of imaging object in the image that has shot, comparison shot in image and found a view in picture at
As the posture of object, to obtain the similarity found a view between picture and the image shot.By the way that preset condition and progress is arranged
Similarity compares, and improves the quality of the image of acquisition, avoids the repeated acquisition of same frame.
Step 103, when similarity is not higher than threshold value, control smart machine executes shooting action.
Specifically, by the similarity found a view between picture and the image shot acquired and preset threshold value ratio
It is right, if similarity is not higher than threshold value, controls smart machine and execute shooting action.It realizes to be in smart machine and be continuously shot
When pattern, user's operation is not needed, you can realize automatic shooting.
In the image pickup method of the embodiment of the present invention, when smart machine is in continuous photographing mode, detection is collected to be taken
Whether scape picture meets preset condition, and when meeting preset condition, determination is found a view similar between picture and the image shot
Degree, when similarity is not higher than threshold value, control smart machine executes shooting action.It realizes and is continuously shot when smart machine is in
When pattern, by determining that picture of finding a view meets preset condition, and the similarity found a view between picture and the image shot is not high
It when threshold value, is automatically snapped, is solved in the related technology, when being continuously shot, needed manual by user
Operation is come the problem of realization.
It needs to detect collected when smart machine is in continuous photographing mode by the analysis to above-described embodiment
Whether picture of finding a view meets preset condition, and preset condition includes the state of imaging object in finding a view picture, is imaged in picture of finding a view
The combination of one or more of the posture of object and the picture quality for picture of finding a view, it is above-mentioned default in order to further clearly illustrate
Condition is based on above-described embodiment, and the embodiment of the present invention proposes a kind of possible realization method of image pickup method, with picture of finding a view
For must simultaneously meet three kinds of preset conditions, three kinds of preset conditions are described in detail, Fig. 2 is carried by the embodiment of the present invention
The flow diagram of another image pickup method supplied, as shown in Fig. 2, being based on a upper embodiment, step 101 can also include as follows
Sub-step：
Step 1011, according to the similarity between the picture of finding a view of nearest collected predetermined number, imaging pair is recognized
The case where as remaining static.
Specifically, when smart machine is in continuous photographing mode, under preview mode, the picture of finding a view of predetermined number is acquired
Face, for example, the successive frame in acquisition 200ms, as a kind of possible realization method, by collected picture of finding a view according to acquisition
Time sequencing ascending order arranges, and sequentially takes adjacent two frame to carry out calculus of differences, operation result is compared with predetermined threshold value respectively, if phase
The result of the operation of adjacent two interframe is respectively less than threshold value, then explanation find a view adjacent two interframe in picture picture similarity it is higher,
That is imaging object remains static in picture of finding a view.By the detection of the stationary state of imaging object, imaging has been turned up
Quality, the picture metaboly of appearance when avoiding imaging object with respect to camera lens progress high-speed motion, such as trail.
As alternatively possible realization method, imaging object in the picture of finding a view of the predetermined number of acquisition can be identified
Posture compares the similarity of the posture of imaging object in the picture of finding a view of predetermined number, if predetermined threshold value similarity is 90%, when
When the similarity of the posture of two interframe of arbitrary neighborhood is all higher than threshold value, determine that the imaging object in picture of finding a view is in static shape
State.For the determination method of the posture of imaging object in picture of finding a view, it is discussed in greater detail in following embodiments.
Step 1012, identify that the posture of imaging object meets preset posture according to picture of finding a view.
Specifically, according to picture of finding a view, each limbs reference point of imaging object is determined, by each limbs of the same limbs of correspondence
Reference point line, and determine that different limbs correspond to the angle between line, the angle between line is corresponded to according to different limbs, really
Each position relationship for determining imaging object determines the posture of imaging object according to each position relationship of imaging object, will
The posture and preset posture of imaging object compare, and when the posture of imaging object and the similarity of preset posture are higher than threshold value, then recognize
Meet preset posture for the posture of imaging object.By the way that preset posture is arranged, it can be achieved that according to the preset posture of setting, realize certainly
Dynamic shooting, increases interest.
For example, preset posture can be gesture, including triumph gesture, V gestures, thumb up gesture etc..
It should be noted that for the determination method of the posture of imaging object in picture of finding a view, it can be detailed in following embodiments
It describes in detail bright.
Step 1013, determine that the picture quality for picture of finding a view meets pre-set image quality requirements.
Specifically, the imaging region of imaging object is in the default composition frame for picture of finding a view, and smart machine and imaging
Space length between object belongs to pre-set space distance range, and when imaging object is personage, without blood-shot eye illness in picture of finding a view
When, determine that the picture quality for picture of finding a view meets pre-set image quality.
Determine that the imaging region of imaging object is in the default composition frame for picture of finding a view, as a kind of possible realization side
Formula determines that the imaging region of imaging object is in the center of view-finder transverse direction, and, the imaging region of imaging object, which is not less than, finds a view
When the preset height of frame longitudinal direction, the imaging region of imaging object is in the default composition frame for picture of finding a view.
It should be noted that presetting composition frame in the corresponding view-finder of picture of finding a view, and default composition frame is in
In preset range in view-finder, to using composition frame as reference so that imaging object is in the preset range of view-finder.It should
Composition frame is generally located on the center of view-finder, and the central point of the golden section point of view-finder as composition frame is implemented as
As centered on position position in final shooting image for object, the aesthetics of picture is improved.
Determine that the space length between smart machine and imaging object belongs to pre-set space distance range, as a kind of possibility
Realization method, according to the proportionate relationship and imaging sensor between the height of imaging region and the actual height of imaging object
Focal length, determine the space length between imaging object and smart machine, wherein imaging sensor for smart machine acquisition take
Scape picture.As alternatively possible realization method, the camera of smart machine can be the depth camera of energy sampling depth data
Head, according to the depth information that each pixel carries in the image collected, it may be determined that the sky between imaging object and smart machine
Between distance.By the adjustment of the space length between imaging object and smart machine, imaging effect can be improved.
It should be noted that the camera of sampling depth information can be dual camera, depth camera in smart machine
(Red-Green-Blue Depth) RGBD can get depth information while imaging, can additionally pass through structure light/TOF
Camera lens carries out the acquisition of depth information, numerous to list herein.
It determines when imaging object is personage, without blood-shot eye illness in picture of finding a view, as a kind of possible realization method, determination takes
The ratio of the human eye area of imaging object in scape picture, and the R of the pixel to human eye area, G, the value of tri- colors of B is detected, such as
Arnotto color (Red, R), green (Green, G), in blue (Blue, B) three color, the ratio that R is accounted for is not higher than predetermined threshold value, it is determined that
Without blood-shot eye illness in current picture of finding a view.
Step 1014, determine that picture of finding a view meets preset condition.
Specifically, when the condition in step 1011- steps 1013 is satisfied by, determine that picture of finding a view meets preset condition,
Good imaging quality.
It should be noted that needed to picture of finding a view full with smart machine under continuous photographing mode in the present embodiment
The preset condition of foot is set as meeting simultaneously corresponding three preset conditions in above-mentioned steps 1011-1013, and in practical application,
Those skilled in the art can according to the demand of application scenarios, flexibly select in above-mentioned steps 1011-1013 corresponding three it is pre-
If one or more of condition combines, as preset condition, do not limited in the present embodiment.And abovementioned steps 1011-
1013 do not limit the sequencing of execution.
In the image pickup method of the embodiment of the present invention, by the way that when smart machine is in continuous photographing mode, detection collects
Picture of finding a view whether meet preset condition, improve the collected image quality of smart machine.
In order to more clearly illustrate above-described embodiment, the embodiment of the present invention also proposed a kind of the possible of image pickup method
Realization method, the flow diagram for another image pickup method that Fig. 3 is provided by the embodiment of the present invention, as shown in figure 3, this method
Include the following steps：
Step 301, when smart machine is in continuous photographing mode, it is default whether the collected picture of finding a view of detection meets
Condition.
Specifically, under the continuous photographing mode of smart machine, according to nearest collected predetermined number find a view picture it
Between similarity, recognize in the case that imaging object remains static, it is determined that picture of finding a view meets preset condition；With/
Or, in the case of identifying that the posture of imaging object meets preset posture according to picture of finding a view, it is default to determine that picture of finding a view meets
Condition；And/or when the picture quality for picture of finding a view meets pre-set image quality requirements, determines that picture of finding a view meets and preset item
Part.
Explanation for these three preset conditions can refer to the step 1011- steps 1013 in an embodiment, this
It is repeated no more in embodiment.
Step 302, when meeting preset condition, the posture of imaging object in the image shot, Yi Jiqu are determined respectively
The posture of imaging object in scape picture.
Wherein, the image shot is the image that the last shooting obtains.
The reference object found a view in picture can be personage, or animal, in picture of finding a view in the present embodiment
Reference object be personage for, illustrate.
Specifically, it is directed to the image shot and picture of finding a view respectively, determines each limbs reference point of imaging object, it will
Each limbs reference point line of corresponding same limbs, and determine that different limbs correspond to the angle between line, according to different limbs
Angle between corresponding line, determines each position relationship of imaging object, according to each position relationship of imaging object,
Determine the posture of imaging object.
As a kind of possible realization method, the photographic device for acquiring picture of finding a view can be can sampling depth information
Photographic device includes depth information by the photographic device the image collected, is identified in image in conjunction with face recognition technology
Human face region and location information be calculated to obtain the pixel and its corresponding depth information that human face region includes
The average value of the corresponding depth information of face pixel.Further, since human body and face are substantially on the same imaging plane,
Therefore it is people by pixel identification of the difference of the average value of depth information corresponding with pixel in face within threshold range
Body, meanwhile, according to the continuity of human body pixel, you can human body and human body contour outline are identified, so that it is determined that each in human body and profile
The depth information and location information of pixel, and then human body and background separation can be come out.Further, for the ease of identification people
The reference point of each limbs in body, excludes the interference of background, can image be carried out binaryzation so that the pixel value of background is 0, people
The pixel value of body is 1.For example, reference point is the joint of each limbs.
Further, the position letter of human body neck joint in finding a view picture is can determine that according to the location information of face and human body
Breath, you can obtain the two-dimensional coordinate information (x, y) of human body neck joint.According to the distribution relation of human synovial it is found that shoulder joint institute
Height and neck joint where the difference of height be fixed, according to the coordinate information of neck joint and the difference
Determine the row where shoulder joint, because background parts pixel value be 0, human body parts pixel value be 1, therefore, in the row left side and
The point that the right most edge respective pixel value is 1 is the corresponding point of shoulder joint, so that it is determined that the two-dimensional coordinate letter of left shoulder joint
It ceases (x1, y1), the two-dimensional coordinate information (x2, y2) of right shoulder joint.
Since the pixel value of background parts is 0, according to the location information of determining left shoulder joint and the left shoulder joint of human body and
The gauged distance of left elbow joint and the continuity of human body pixel, when it is 1 pixel position to identify pixel, you can really
The two-dimensional coordinate information (x3, y3) of fixed left elbow joint.
Similarly, it can further identify and determine the two-dimensional coordinate information in the other each joints of human body, each joint of human body is at least
Including：Neck joint, left shoulder joint, right shoulder joint, left elbow joint, right elbow joint, left wrist joint, right wrist joint, left knee joint, a left side
Ankle-joint, right knee joint, right ankle-joint etc., because joint is more, are not listed one by one herein.For identifying and determining other each joints
Two-dimensional coordinate method, principle is identical, does not repeat one by one herein.
In turn, it may be determined that the location information of each limbs joint of imaging object, that is, the position of each limbs reference point are believed
Breath, by different limbs reference point lines, you can according to the two-dimensional coordinate of different limbs reference points, determine that different limbs correspond to line
Between angle, for example, the corresponding two-dimensional coordinate of left shoulder joint is (x1, y1), the corresponding two-dimensional coordinate of left elbow joint be (x3,
Y3) and the two-dimensional coordinate answered of left wrist joint is (x2, y2), and the reference point of these three limbs is carried out line, is referred to according to three
The two-dimensional coordinate of point, it may be determined that left shoulder joint and the corresponding line of left elbow joint, company corresponding with left elbow joint and left wrist joint
Angle between line corresponds to the angle between line according to different limbs, it may be determined that the posture of imaging object,
To, it may be determined that shoot the appearance of imaging object in the posture of imaging object in image, and current picture of finding a view
State.
Step 303, in the image that has shot of comparison and in picture of finding a view imaging object posture, to obtain picture of finding a view
With the similarity between the image that has shot.
It, can be by the posture of imaging object in the image shot, with current picture of finding a view as a kind of possible realization method
The posture of imaging object in face carries out calculus of differences, and operation result is bigger, then illustrates the imaging object in the image shot
The posture difference of posture and imaging object in picture of currently finding a view is bigger, that is to say, that similarity is lower, according to difference to it is similar
Reversed correspondence between degree, similarity value is converted by difference.
Step 304, judge whether the similarity found a view between picture and the image shot is not higher than threshold value, if so,
Step 306 is executed, if it is not, thening follow the steps 305.
Specifically, if the similarity found a view between picture and the image shot is not higher than threshold value, illustrate picture of finding a view
It is not high with the similarity between the image that has shot, then it controls smart machine and executes shooting action, shoot current picture of finding a view.
If similarity is higher than threshold value, illustrate that the similarity found a view between picture and the image shot is higher, to avoid repeating shooting
Identical picture is obtained, does not execute action of taking pictures, needs that picture of finding a view is continued to detect.
Step 305, the phonetic order for receiving user is judged whether there is, if so, executing step 306, is executed if it is not, returning
Step 301.
Specifically, if the similarity found a view between picture and the image shot is higher than threshold value, illustrate to find a view picture and
Similarity between the image shot is higher, cannot execute action of taking pictures, and has further determined whether to receive use at this time
Family instructs, if receiving user instruction, controls smart machine and executes shooting action, current picture of finding a view is acquired, if not having
User instruction is received, then return to step 201 starts to re-execute.
Step 306, control smart machine executes shooting action.
Specifically, control smart machine executes shooting action, realizes automatic shooting, and according to step 301- steps 306
Action repeats, until smart machine exits continuous photographing mode.
In the image pickup method of the present embodiment, when smart machine is under continuous photographing mode, by the way that preset condition is arranged,
When the similarity that picture of finding a view meets preset condition, and finds a view between picture and the image shot is less than threshold value, intelligence is controlled
Energy equipment is automatically snapped, and to when being continuously shot, avoid user's manual operation, while it is multiple to avoid same action
The case where shooting, occurs, and improves the quality that image is continuously shot.
In order to realize that above-described embodiment, the embodiment of the present invention also propose a kind of filming apparatus.
Fig. 4 is a kind of structural schematic diagram of filming apparatus provided in an embodiment of the present invention.
As shown in figure 4, the device includes：Detection module 41, determining module 42 and taking module 43.
Detection module 41, for when smart machine be in continuous photographing mode, detect it is collected find a view picture whether
Meet preset condition
Determining module 42, for when meeting preset condition, determination to be found a view similar between picture and the image shot
Degree.
Taking module 43, for when similarity is not higher than threshold value, control smart machine to execute shooting action.
Further, in a kind of possible realization method of the embodiment of the present invention, detection module 41 is specifically used for：
According to the similarity between the picture of finding a view of nearest collected predetermined number, recognizes imaging object and be in static
In the case of state, determine that picture of finding a view meets preset condition；
And/or in the case of according to picture of finding a view identifying that the posture of imaging object meets preset posture, picture of finding a view is determined
Face meets preset condition；
And/or when the picture quality for picture of finding a view meets pre-set image quality requirements, it is default to determine that picture of finding a view meets
Condition.
As a kind of possible realization method, pre-set image quality requirements, including：
The imaging region of imaging object be in find a view picture default composition frame in, and the space between imaging object away from
From belonging to pre-set space distance range, and when imaging object is personage, without blood-shot eye illness in picture of finding a view.
As a kind of possible realization method, determining module 42 is specifically used for：
Determine the posture of imaging object in the image that has shot respectively, and in picture of finding a view imaging object posture, it is right
Than the posture of imaging object in the image that has shot and in picture of finding a view, to obtain finding a view between picture and the image shot
Similarity.
As a kind of possible realization method, determining module 42 can be also used for：
It is directed to the image shot and picture of finding a view respectively, determines each limbs reference point of imaging object, it will be corresponding same
Each limbs reference point line of one limbs, and determine that different limbs correspond to the angle between line, it is corresponded to and is connected according to different limbs
Angle between line determines each position relationship of imaging object, according to each position relationship of imaging object, determine at
As the posture of object.
Wherein, the image shot is the image that the last shooting obtains.
As a kind of possible realization method, taking module 43 can be also used for：
In the case where the similarity between picture and the image shot of finding a view is higher than threshold value, if finding a view picture with acquisition
Synchronous acquisition controls smart machine and executes shooting action to pre-set user voice.
It should be noted that the aforementioned device that the embodiment is also applied for the explanation of embodiment of the method, herein not
It repeats again.
In the filming apparatus of the embodiment of the present invention, detection module is used for when smart machine is in continuous photographing mode, inspection
Survey whether collected picture of finding a view meets preset condition, determining module is used for when meeting preset condition, determines picture of finding a view
With the similarity between the image that has shot, taking module is used for when similarity is not higher than threshold value, and control smart machine executes
Shooting action.It realizes when smart machine is in continuous photographing mode, by determining that picture of finding a view meets preset condition, and takes
When similarity between scape picture and the image shot is not higher than threshold value, automatically snapped, solve in the related technology, when
When being continuously shot, need through user's manual operation come the problem of realization.
In order to realize above-described embodiment, the invention also provides a kind of smart machines, including：It memory, processor and deposits
The computer program that can be run on a memory and on a processor is stored up, when the processor executes described program, is realized as before
State the image pickup method described in embodiment of the method.Wherein smart machine is specifically as follows robot.The robot can pass through chassis
It is moved, the holder in robot is arranged in the imaging sensor for imaging, and holder can drive imaging sensor to rotate
And adjustment pitch angle.
In order to realize above-described embodiment, the invention also provides a kind of computer readable storage mediums, are stored thereon with meter
Calculation machine program realizes the image pickup method described in preceding method embodiment when being executed by a processor.
Below with reference to Fig. 5, it illustrates the structural schematic diagrams suitable for the smart machine 10 for realizing the embodiment of the present invention.
Smart machine shown in Fig. 5 is only an example, should not bring any limit to the function and use scope of the embodiment of the present application
System.
As shown in figure 5, smart machine 10 includes processor 11, it can be according to being stored in read-only memory (ROM, Read
Only Memory) program in 12 or it is loaded into random access storage device (RAM, Random Access from memory 16
Memory) program in 13 and execute various actions appropriate and processing.In RAM 13, it is also stored with the operation of smart machine 10
Required various programs and data.Processor 11, ROM 12 and RAM 13 are connected with each other by bus 14.Input/output (I/
O, Input/Output) interface 15 is also connected to bus 14.
It is connected to I/O interfaces 15 with lower component：Memory 16 including hard disk etc.；And including such as LAN (LAN,
Local Area Network) card, modem etc. network interface card communications portion 17, communications portion 17 is via such as
The network of internet executes communication process；Driver 18 is also according to needing to be connected to I/O interfaces 15；Photographic device 19 is also required to；
I/O interfaces 15 are connected to, the shooting and processing of image are used for.
Particularly, in accordance with an embodiment of the present disclosure, it may be implemented as computer above with reference to the process of flow chart description
Software program.For example, embodiment of the disclosure includes the computer program of carrying on a computer-readable medium, the computer journey
Sequence includes the program code for method shown in execution flow chart.In such embodiments, which can lead to
Communications portion 17 is crossed to be downloaded and installed from network.When the computer program is executed by processor 11, execute the application's
The above-mentioned function of being limited in method.It should be noted that the above-mentioned computer-readable medium of the application can be computer-readable
Signal media or computer readable storage medium either the two arbitrarily combine.Computer readable storage medium is for example
System, device or the device of electricity, magnetic, optical, electromagnetic, infrared ray or semiconductor are may be-but not limited to-, or arbitrary
Above combination.The more specific example of computer readable storage medium can include but is not limited to：It is led with one or more
The electrical connection of line, portable computer diskette, hard disk, random access storage device (RAM), read-only memory (ROM), erasable type can
Program read-only memory (EPROM or flash memory), optical fiber, portable compact disc read-only memory (CD-ROM), light storage device,
Magnetic memory device or above-mentioned any appropriate combination.In this application, computer readable storage medium can be any packet
Contain or store the tangible medium of program, which can be commanded the either device use or in connection of execution system, device
It uses.And in this application, computer-readable signal media may include propagating in a base band or as a carrier wave part
Data-signal, wherein carrying computer-readable program code.Diversified forms may be used in the data-signal of this propagation,
Including but not limited to electromagnetic signal, optical signal or above-mentioned any appropriate combination.Computer-readable signal media can be with
Any computer-readable medium other than computer readable storage medium, which can send, propagate or
Person transmission for by instruction execution system, device either device use or program in connection.Computer-readable Jie
The program code for including in matter can transmit with any suitable medium, including but not limited to：Wirelessly, electric wire, optical cable, RF etc.
Deng or above-mentioned any appropriate combination.
In the description of this specification, reference term " one embodiment ", " some embodiments ", " example ", " specifically show
The description of example " or " some examples " etc. means specific features, structure, material or spy described in conjunction with this embodiment or example
Point is included at least one embodiment or example of the invention.In the present specification, schematic expression of the above terms are not
It must be directed to identical embodiment or example.Moreover, particular features, structures, materials, or characteristics described can be in office
It can be combined in any suitable manner in one or more embodiments or example.In addition, without conflicting with each other, the skill of this field
Art personnel can tie the feature of different embodiments or examples described in this specification and different embodiments or examples
It closes and combines.
In addition, term " first ", " second " are used for description purposes only, it is not understood to indicate or imply relative importance
Or implicitly indicate the quantity of indicated technical characteristic.Define " first " as a result, the feature of " second " can be expressed or
Implicitly include at least one this feature.In the description of the present invention, the meaning of " plurality " is at least two, such as two, three
It is a etc., unless otherwise specifically defined.
Any process described otherwise above or method description are construed as in flow chart or herein, and expression includes
It is one or more for realizing custom logic function or process the step of executable instruction code module, segment or portion
Point, and the range of the preferred embodiment of the present invention includes other realization, wherein can not press shown or discuss suitable
Sequence, include according to involved function by it is basic simultaneously in the way of or in the opposite order, to execute function, this should be of the invention
Embodiment person of ordinary skill in the field understood.
Expression or logic and/or step described otherwise above herein in flow charts, for example, being considered use
In the order list for the executable instruction for realizing logic function, may be embodied in any computer-readable medium, for
Instruction execution system, device or equipment (system of such as computer based system including processor or other can be held from instruction
The instruction fetch of row system, device or equipment and the system executed instruction) it uses, or combine these instruction execution systems, device or set
It is standby and use.For the purpose of this specification, " computer-readable medium " can any can be included, store, communicating, propagating or passing
Defeated program is for instruction execution system, device or equipment or the dress used in conjunction with these instruction execution systems, device or equipment
It sets.The more specific example (non-exhaustive list) of computer-readable medium includes following：Electricity with one or more wiring
Interconnecting piece (electronic device), portable computer diskette box (magnetic device), random access memory (RAM), read-only memory
(ROM), erasable edit read-only storage (EPROM or flash memory), fiber device and portable optic disk is read-only deposits
Reservoir (CDROM).In addition, computer-readable medium can even is that the paper that can print described program on it or other are suitable
Medium, because can be for example by carrying out optical scanner to paper or other media, then into edlin, interpretation or when necessary with it
His suitable method is handled electronically to obtain described program, is then stored in computer storage.
It should be appreciated that each section of the present invention can be realized with hardware, software, firmware or combination thereof.Above-mentioned
In embodiment, software that multiple steps or method can in memory and by suitable instruction execution system be executed with storage
Or firmware is realized.Such as, if realized in another embodiment with hardware, following skill well known in the art can be used
Any one of art or their combination are realized：With for data-signal realize logic function logic gates from
Logic circuit is dissipated, the application-specific integrated circuit with suitable combinational logic gate circuit, programmable gate array (PGA), scene can compile
Journey gate array (FPGA) etc..
Those skilled in the art are appreciated that realize all or part of step that above-described embodiment method carries
Suddenly it is that relevant hardware can be instructed to complete by program, the program can be stored in a kind of computer-readable storage medium
In matter, which includes the steps that one or a combination set of embodiment of the method when being executed.
In addition, each functional unit in each embodiment of the present invention can be integrated in a processing module, it can also
That each unit physically exists alone, can also two or more units be integrated in a module.Above-mentioned integrated mould
The form that hardware had both may be used in block is realized, can also be realized in the form of software function module.The integrated module is such as
Fruit is realized in the form of software function module and when sold or used as an independent product, can also be stored in a computer
In read/write memory medium.
Storage medium mentioned above can be read-only memory, disk or CD etc..Although having been shown and retouching above
The embodiment of the present invention is stated, it is to be understood that above-described embodiment is exemplary, and should not be understood as the limit to the present invention
System, those skilled in the art can be changed above-described embodiment, change, replace and become within the scope of the invention
Type.
Claims (10)
1. a kind of image pickup method, which is characterized in that the described method comprises the following steps：
When smart machine is in continuous photographing mode, detect whether collected picture of finding a view meets preset condition；
When meeting preset condition, determine described in the similarity found a view between picture and the image shot；
When the similarity is not higher than threshold value, control smart machine executes shooting action.
2. image pickup method according to claim 1, which is characterized in that find a view described in the determination picture and the figure that has shot
Similarity as between, including：
The posture of imaging object in the posture of imaging object in the image that has shot and the picture of finding a view is determined respectively；
The posture of imaging object in the comparison image shot and in the picture of finding a view, with picture of finding a view described in obtaining
With the similarity between the image that has shot.
3. image pickup method according to claim 2, which is characterized in that described to determine imaging pair in the image shot respectively
The posture of imaging object in the posture of elephant and the picture of finding a view, including：
It is directed to the image shot and the picture of finding a view respectively, determines each limbs reference point of imaging object；
By each limbs reference point line of the same limbs of correspondence, and determine that different limbs correspond to the angle between line；
The angle between line is corresponded to according to different limbs, determines each position relationship of imaging object；
According to each position relationship of the imaging object, the posture of the imaging object is determined.
4. image pickup method according to claim 1, which is characterized in that whether the collected picture of finding a view of detection meets
Preset condition, including：
According to the similarity between the picture of finding a view of nearest collected predetermined number, recognizes imaging object and remain static
In the case of, picture of finding a view described in determination meets the preset condition；
And/or in the case of according to the picture of finding a view identifying that the posture of the imaging object meets preset posture, determine institute
It states picture of finding a view and meets the preset condition；
And/or when the picture quality of the picture of finding a view meets pre-set image quality requirements, picture satisfaction of finding a view described in determination
The preset condition.
5. image pickup method according to claim 4, which is characterized in that the pre-set image quality requirements, including：
The imaging region of the imaging object is in the default composition frame of the picture of finding a view；
And the space length between smart machine and the imaging object belongs to pre-set space distance range；
And when the imaging object is personage, without blood-shot eye illness in the picture of finding a view.
6. according to claim 1-5 any one of them image pickup methods, which is characterized in that find a view described in the determination picture with
After similarity between the image of shooting, further include：
In the case where the similarity found a view between picture and the image shot is higher than the threshold value, if with described in acquisition
Picture synchronization of finding a view collects pre-set user voice, and control smart machine executes shooting action.
7. according to claim 1-5 any one of them image pickup methods, which is characterized in that the image shot is nearest one
It is secondary to shoot obtained image.
8. a kind of filming apparatus, which is characterized in that described device includes：
Detection module, for when smart machine is in continuous photographing mode, it is pre- whether the collected picture of finding a view of detection meets
If condition；
Determining module, the similarity for when meeting preset condition, finding a view between picture and the image shot described in determination；
Taking module, for when the similarity is not higher than threshold value, control smart machine to execute shooting action.
9. a kind of smart machine, which is characterized in that including：Memory, processor and storage are on a memory and can be in processor
The computer program of upper operation when the processor executes described program, realizes the shooting as described in any in claim 1-7
Method.
10. a kind of computer readable storage medium, is stored thereon with computer program, which is characterized in that the program is by processor
The image pickup method as described in any in claim 1-7 is realized when execution.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810235479.5A CN108737716A (en) | 2018-03-21 | 2018-03-21 | Image pickup method, device and smart machine |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810235479.5A CN108737716A (en) | 2018-03-21 | 2018-03-21 | Image pickup method, device and smart machine |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN108737716A true CN108737716A (en) | 2018-11-02 |
Family
ID=63940960
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201810235479.5A Pending CN108737716A (en) | 2018-03-21 | 2018-03-21 | Image pickup method, device and smart machine |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN108737716A (en) |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110008995A (en) * | 2019-03-06 | 2019-07-12 | 重庆金山医疗器械有限公司 | Image-recognizing method and system |
| CN111920391A (en) * | 2020-06-23 | 2020-11-13 | 联想(北京)有限公司 | Temperature measuring method and equipment |
| CN115835012A (en) * | 2022-11-19 | 2023-03-21 | 华瑞研能科技(深圳)有限公司 | Moving organism shooting method based on artificial intelligence and intelligent hunting camera |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2015008385A (en) * | 2013-06-25 | 2015-01-15 | 株式会社ニコン | Image selection device, imaging device, and image selection program |
| CN104506769A (en) * | 2014-12-04 | 2015-04-08 | 广东欧珀移动通信有限公司 | Shooting method and terminal |
| CN104519263A (en) * | 2013-09-27 | 2015-04-15 | 联想(北京)有限公司 | Method for acquiring image and electronic device |
| CN105430262A (en) * | 2015-11-17 | 2016-03-23 | 小米科技有限责任公司 | Photographing control method and photographing control device |
| CN105827933A (en) * | 2015-06-29 | 2016-08-03 | 维沃移动通信有限公司 | Imaging method and device and mobile terminal |
-
2018
- 2018-03-21 CN CN201810235479.5A patent/CN108737716A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2015008385A (en) * | 2013-06-25 | 2015-01-15 | 株式会社ニコン | Image selection device, imaging device, and image selection program |
| CN104519263A (en) * | 2013-09-27 | 2015-04-15 | 联想(北京)有限公司 | Method for acquiring image and electronic device |
| CN104506769A (en) * | 2014-12-04 | 2015-04-08 | 广东欧珀移动通信有限公司 | Shooting method and terminal |
| CN105827933A (en) * | 2015-06-29 | 2016-08-03 | 维沃移动通信有限公司 | Imaging method and device and mobile terminal |
| CN105430262A (en) * | 2015-11-17 | 2016-03-23 | 小米科技有限责任公司 | Photographing control method and photographing control device |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110008995A (en) * | 2019-03-06 | 2019-07-12 | 重庆金山医疗器械有限公司 | Image-recognizing method and system |
| CN111920391A (en) * | 2020-06-23 | 2020-11-13 | 联想(北京)有限公司 | Temperature measuring method and equipment |
| CN115835012A (en) * | 2022-11-19 | 2023-03-21 | 华瑞研能科技(深圳)有限公司 | Moving organism shooting method based on artificial intelligence and intelligent hunting camera |
| CN115835012B (en) * | 2022-11-19 | 2023-09-15 | 华瑞研能科技(深圳)有限公司 | Artificial intelligence-based active organism shooting method and intelligent hunting camera |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US10303973B2 (en) | Image processing apparatus, image processing method, and storage medium for lighting processing on image using model data | |
| US6636635B2 (en) | Object extraction method, and image sensing apparatus using the method | |
| CN102843509B (en) | Image processing device and image processing method | |
| CN107025635A (en) | Processing method, processing unit and the electronic installation of image saturation based on the depth of field | |
| CN106937049A (en) | The processing method of the portrait color based on the depth of field, processing unit and electronic installation | |
| CN106991654A (en) | Human body beautification method and apparatus and electronic installation based on depth | |
| CN108111749A (en) | Image processing method and device | |
| CN112861661B (en) | Image processing method and device, electronic equipment and computer readable storage medium | |
| CN108769649B (en) | Advanced treating device and three dimensional image apparatus | |
| CN107395957B (en) | Photographing method and device, storage medium and electronic equipment | |
| JP6157165B2 (en) | Gaze detection device and imaging device | |
| CN108737716A (en) | Image pickup method, device and smart machine | |
| CN111339831A (en) | Lighting lamp control method and system | |
| Yasuda et al. | Thermo-key: Human region segmentation from video | |
| CN102525400A (en) | Intelligent eyesight detecting device with binocular cameras | |
| CN110084765A (en) | A kind of image processing method, image processing apparatus and terminal device | |
| CN108053438A (en) | Depth of field acquisition methods, device and equipment | |
| CN108259764A (en) | Video camera, image processing method and device applied to video camera | |
| CN109981967B (en) | Shooting method and device for intelligent robot, terminal equipment and medium | |
| CN114930798A (en) | Shooting object switching method and device, and image processing method and device | |
| KR20180092033A (en) | Component registration device | |
| CN112926367B (en) | Living body detection equipment and method | |
| CN109121194B (en) | Method and apparatus for state transition of electronic device | |
| CN104285443A (en) | Image brightness adjusting method and device and stereo camera | |
| CN107101616B (en) | It is a kind of to position the personal identification method of object, device and system |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20181102 |
|
| RJ01 | Rejection of invention patent application after publication |