JP2005167479A - Image input apparatus and image input method - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To provide an image input apparatus and an image input method capable of obtaining an image with a resolution suitable for character recognition. <P>SOLUTION: The image input apparatus for recording photographed information as image data includes: a character size discrimination means for receiving an input of information with respect to a size of a character expressed on an object so as to discriminate the size of the character; and an imaging magnification determining means for determining imaging magnification on the basis of the size of the character discriminated by the character size discrimination means, and photographs the object at the imaging magnification determined by the imaging magnification determining means to solve the problem. <P>COPYRIGHT: (C)2005,JPO&NCIPI

Description

  The present invention relates to an image input apparatus and an image input method, and more particularly to an image input apparatus and an image input method for recording captured information as image data.

  With the development of character recognition technology, it is becoming practical to read a document as an image by an image input device typified by a scanner or a document camera, and convert the image into text data using a character recognition device (OCR). By converting the document captured as an image into text data, the file capacity can be reduced, and the content of the document can be edited.

  The success rate of character recognition when character recognition is performed by character recognition technology largely depends on the size of characters on the original and the resolution of the image read from the original. For example, it is said that when a document having a character size of 10 points is read by a scanner or a document camera, it is necessary to read at a resolution of about 300 dpi. Therefore, if the character is 10 points or less, a resolution of 300 dpi or more is required.

  When the character size is fixed to α, the number of pixels per inch (resolution δ) is variable, and various characters are shot with a document camera, etc., the OCR is applied to the shot images and the resolution δ is set. If the character recognition success rate is evaluated, this relationship can be expressed as follows:

また、文字認識装置により、文字サイズαの、最も状態の良い画像に対して文字認識をかけた場合の文字認識成功率をＢとすると、以下のように表現できる。

Further, when the character recognition success rate when the character recognition is applied to the best image of the character size α by the character recognition device is B, it can be expressed as follows.

ここで、文字認識成功率がＢ（限りなくＢ）になる解像度のうち、最低解像度を文字サイズαに対する必要解像度δ１と定義する。

Here, among the resolutions where the character recognition success rate is B (infinitely B), the minimum resolution is defined as the necessary resolution δ1 for the character size α.

  In order to photograph a desired shooting area so that the character recognition success rate is B using the image input device, the character size α drawn in the desired shooting area is determined, and the necessary resolution for the character size α It is necessary to change the imaging magnification or move the position of the image input device so that the image can be captured at δ1. Further, when the desired imaging area is wider than the area that can be imaged by one imaging, it is necessary to divide the desired imaging area into a plurality of small areas and perform imaging.

Japanese Patent Application Laid-Open No. 2004-228561 describes an invention that allows a region to be imaged to be easily enlarged and moved on a document. Japanese Patent Application Laid-Open No. 2004-228867 performs character recognition by photographing an original with a plurality of resolutions, selecting an image with a resolution optimum for character recognition from images photographed with the plurality of resolutions. The invention has been described.
Japanese Patent Laid-Open No. 10-327312 JP 2000-67155 A

  However, conventional image input devices are designed so as to satisfy the necessary resolution only for generally used character sizes (10 to 12 points). In such an image input device, when shooting a document drawn with a character size larger than a prescribed size (10 to 12 points), an image having a higher resolution (δ2) than δ1 can be obtained. However, according to the definition of δ1, the character recognition success rate is almost the same for both the image of δ1 and the image of δ2. Rather, when shooting a wide area with a resolution of δ2, the range that can be captured with one shooting is smaller than when shooting with a resolution of δ1, so there is a possibility that the number of shootings will increase, resulting in a longer shooting time. There is a possibility.

  When a document drawn with a character size smaller than a prescribed size (10 to 12 points) is photographed, the resolution of the photographed image is δ1 or less, and the character recognition success rate B cannot be achieved. .

  The present invention has been made in view of the above points, and an object thereof is to provide an image input apparatus and an image input method capable of obtaining an image with a resolution suitable for character recognition.

  Accordingly, in order to solve the above problems, the present invention is an image input device that records captured information as image data, accepts input of information regarding the size of a character represented on a subject, and determines the size of the character. A character size determining means for determining; an image capturing magnification determining means for determining an image capturing magnification based on the character size determined by the character size determining means; and the image capturing magnification determined by the image capturing magnification determining means Then, the subject is photographed.

  In such an image input device, since the subject can be photographed with the imaging magnification determined based on the size of the character represented on the subject, an image with a resolution suitable for character recognition can be obtained.

  Moreover, in order to solve the said subject, this invention is good also as an image input method in the said image input device.

  It is possible to provide an image input device and an image input method capable of obtaining an image with a resolution suitable for character recognition.

  Hereinafter, embodiments of the present invention will be described with reference to the drawings. FIG. 1 is a diagram illustrating a configuration example of an image input apparatus according to the first embodiment. As illustrated in FIG. 1, the image input device 100 includes an imaging unit 11, a support unit 12 (support units 12-1, 12-2, and 12-3), a rotation moving unit 13, a support unit rotation unit 14, and a shooting switch. 15, a subject 16, a coordinate detection unit 17 (coordinate detection units 17-1, 17-2 and 17-3) and the like.

  The imaging unit 11 is supported by the support unit 12 via the rotational movement unit 13, and can capture images at a plurality of imaging magnifications. When the photographing switch 15 is pressed, the imaging unit 11 captures an image of the subject 16 on a surface such as a desk on which the support unit 12-3 is installed. Note that the imaging unit 11 has been calibrated in advance, and the internal matrix, optical axis position, angle of view, etc. for each imaging magnification are known.

  The rotational movement unit 13 includes a motor, a gear, and the like, and can give the imaging unit 11 rotational movement such as panning, rolling, and tilting. Therefore, the rotational movement unit 13 can move the imaging optical axis of the imaging unit 11 in the pan, tilt, and roll directions.

  The support part 12-1 and the support part 12-2 are extendable. Moreover, the support part rotation part 14 can give rotational movement to the support part 12-2. Therefore, by combining the support parts 12-1 and 12-2, the support part rotating part 14, and the rotational movement part 13, only translational movement can be given to the imaging part 11.

  An area to be photographed by the image input apparatus 100 can be designated by the pen type device 20. The pen-type device 20 is a device that transmits a signal once per unit time while the pen tip is in contact with an object. Since the unit time is very small as compared with the pen moving speed of the operator, it can be considered that the pen-type device 20 continuously sends a signal.

  The pen-type device 20 may be one that can write characters with ink or the like, or one that cannot write characters. In addition, when characters cannot be written, a sound may be emitted simultaneously when a signal is being emitted in order to notify the operator that the signal is being emitted.

  The coordinate detection units 17-1, 17-2, and 17-3 are for detecting the position of the pen tip of the pen type device 20 by receiving a signal transmitted by the pen type device 20. The coordinate detection unit 17 measures the three-dimensional position of the pen tip by calculating the arrival time of the signal from the pen device 20.

  FIG. 2 is a diagram for explaining an operation when inputting an image of a subject. In FIG. 2, a region (region 22) surrounded by the rectangle ABCD on the subject 16 is a region to be photographed.

  When the operator draws a rectangle ABCD using the pen-type device 20, the image input apparatus 100 uses the coordinate detection unit 17 to acquire a three-dimensional coordinate group continuously, thereby obtaining an area that the operator wants to shoot. 22 three-dimensional coordinate groups are obtained. The image input apparatus 100 converts a three-dimensional coordinate group into an imaging coordinate system having an imaging center as an origin and an optical axis as a Z axis by performing coordinate conversion. Assume that the X axis and Y axis of the imaging coordinate system are aligned with the arrangement axes of the imaging elements existing in the imaging unit 11.

  Subsequently, the image input apparatus 100 calculates the center (image center 23) of the rectangle ABCD. The calculation of the image center 23 may be simply taking the center of gravity of the obtained three-dimensional coordinate group, but the point arrangement may be biased depending on the moving speed of the pen, and is thus surrounded by the three-dimensional coordinate group. It is desirable to extract a region and obtain the center of gravity position from the extracted region.

  Subsequently, the image input apparatus 100 moves the imaging unit 11 using the expansion / contraction of the support unit 12-2 and the rotation of the support unit rotation unit 14 so that the center of the optical axis passes through the image center 23. At this time, the rotational movement amount of the support unit rotating unit 14 is calculated, and the rotational moving unit 13 rotates the imaging unit 11 in the opposite direction, so that the light before the expansion and contraction of the supporting unit 12-2 and the light of the imaging unit 11 are applied. Make the axis directions equal.

  Subsequently, the image input apparatus 100 converts all three-dimensional coordinates (X, Y, Z) belonging to the three-dimensional coordinate group into image coordinates (U, V). The conversion method follows the method described in the three-dimensional vision (by Kyoritsu Publishing Co., Ltd., Xugang and Saburo Saburo). Hereinafter, a set of vertices obtained by converting all three-dimensional coordinates belonging to the three-dimensional coordinate group into image coordinates is referred to as an “image coordinate group”.

  Subsequently, the image input apparatus 100 moves the imaging unit 11 in the optical axis direction using the expansion / contraction function of the support unit 12-1 so that the vertices belonging to the image coordinate group fall within the imaging range of the imaging unit 11. In many cases, the vertices belonging to the three-dimensional coordinate group 21 can be approximated to be on a plane, so four vertices of the vertices belonging to the three-dimensional coordinate group 21 (the X coordinate is the maximum, the minimum vertex, and the Y coordinate are the maximum). If the imaging unit 11 is moved in the optical axis direction by using the expansion / contraction function of the support unit 12-1 so that the four vertices fall within the image range, the calculation time can be shortened.

  As described above, according to the image input device 100 in the first embodiment, even if the imaging magnification in the imaging unit 11 is fixed, the entire imaging region can be captured at once using the expansion / contraction function of the support unit 12. Images can be taken and the shooting time can be shortened.

  Next, a second embodiment will be described. FIG. 3 is a diagram illustrating a configuration example of the image input apparatus according to the second embodiment. As shown in FIG. 3, the image input device 200 includes an imaging unit 211, a support unit 212, a rotational movement unit 213, a photographing switch 215, a subject 216, a coordinate detection unit 217 (coordinate detection units 217-1, 217-2, and 217-3).

  The imaging unit 211 is supported by the support unit 212 via the rotational movement unit 213, and can capture images at a plurality of imaging magnifications. When the photographing switch 215 is pressed, the imaging unit 211 captures an image of the subject 216 on a surface such as a desk on which the support unit 212 is installed.

  The rotational movement unit 213 includes a motor, a gear, and the like, and can give the imaging unit 211 rotational movement such as pan, roll, and tilt. Therefore, the rotational movement unit 13 can move the imaging optical axis of the imaging unit 11 in the pan, tilt, and roll directions.

  Similar to the first embodiment, the area to be photographed by the image input apparatus 200 can be designated by the pen-type device 220. The pen-type device 220 is the same as the pen-type device 20 in the first embodiment.

  The coordinate detection units 217-1, 217-2 and 217-3 can measure the distance from the pen tip by receiving the signal transmitted from the pen-type device 220 and calculating the arrival time of the signal.

  Note that the optical axis position and the angle of view corresponding to the imaging magnification are known in advance with respect to the imaging unit 211.

  Hereinafter, the operation of the image input apparatus 200 will be described. FIG. 4 is a flowchart for explaining the operation of the image input apparatus according to the second embodiment.

  When the operator draws a rectangular ABCD on the subject 216 using the pen-type device 220 (S201), the image input device 200 uses the coordinate detection unit 217 to continuously acquire the three-dimensional coordinates, A three-dimensional coordinate group of the imaging area (rectangular ABCD) that the operator wants to shoot is obtained (S202).

  FIG. 5 is a diagram illustrating an example of a subject in the second embodiment. In FIG. 5, a region 109 surrounded by a rectangle having four vertices A, B, C, and D is a photographing region.

  Further, the image input device 200 performs coordinate conversion on the three-dimensional coordinate group, thereby converting into an imaging coordinate system having the imaging center as the origin and the optical axis as the Z axis. Note that the X axis and Y axis of the imaging coordinate system are aligned with the arrangement axis of the imaging element.

  When the operator generates a small area 110 by surrounding the smallest character that the operator wants to recognize in the area 109 with the pen-type device 220 (S204), the image input apparatus 200 displays the small area. The area of the small region 110 is calculated from the three-dimensional data forming 110. The area of the small region 110 may be calculated by considering that the three-dimensional data 113 forming the small region 110 is distributed on a plane.

  Subsequently, the image input apparatus 200 extracts a three-dimensional coordinate at the farthest distance from the optical axis from the three-dimensional coordinate group, and the coordinates (X, Y, Z) in the imaging coordinate system of the three-dimensional coordinate are extracted. The imaging magnification is determined from the value (P) obtained by substituting the positive square root (L) of the area of the small region 110 into the following equation (1) (S205).

続いて、画像入力装置２００は、決定した撮像倍率に基づいて撮影時の分割回数を決定する。図６は、分割回数の決定方法を説明するための図である。

Subsequently, the image input apparatus 200 determines the number of divisions during shooting based on the determined imaging magnification. FIG. 6 is a diagram for explaining a method of determining the number of divisions.

  FIG. 6A shows the image range as a quadrangle A1B1D1C1 when the desktop plane on which the support unit 114 is placed is imaged with the determined imaging magnification. Similarly, FIG. 6B shows the image range when the image is taken in the horizontal division as A2B2D2C2, and FIG. 6C shows the image range when the image is taken in the vertical direction as A3B3D3C3. ing. Furthermore, FIG. 6D shows an image range when A / B / D4C4 are captured in four divisions. In addition, the point shown with the code | symbol M in the figure has shown the optical axis center.

  When all the points belonging to the three-dimensional coordinate group are included in the quadrature estimation with A1B1D1C1 as the bottom and the camera center as the apex, the image input device 200 does not need to divide and shoot (one-division shooting) ) (YES in S206-1).

  Similarly, when all the points belonging to the three-dimensional coordinate group are included in the quadrature inference with A2B2D2C2 as the bottom surface and the camera center as the apex, the image input device 200 divides horizontally (YES in S206-2), If it is included in the quadrature in which A3B3D3C3 is the bottom and the camera center is the vertex, it is divided into two vertically (YES in S206-3), and if it is included in the quadrature in which A4B4D4C4 is the bottom and the camera is the vertex, it is divided into four ( In S206-4), the number of divisions is determined. In addition, what is necessary is just to determine the number of divisions on the same principle also when dividing | segmenting into four or more divisions.

  When the number of divisions is determined, the image input apparatus 200 moves the photographing unit 101 using the rotational movement unit 213 according to the number of divisions, and photographs the subject 216.

  When shooting is completed, the image input apparatus 200 performs a process (synthesizing process) for combining an image for each divided area (hereinafter referred to as “divided image”) obtained by the divided shooting into one image. Execute.

  FIG. 7 is a diagram schematically illustrating how the divided images are combined. In FIG. 7, for the sake of convenience, four divided images are combined based on information (hereinafter referred to as “position information”) relating to the shooting position recorded in association with each other. ing.

  Here, when an error occurs in the rotation angle by the rotational movement unit 213, an image shift occurs in the combined portion only by combining based on position information associated with each divided image. Therefore, the image input device 200 shifts the relative positional relationship of the four divided images by a minute amount and searches for a position where the images can be synthesized most smoothly.

  FIG. 8 is a flowchart for explaining the details of the synthesis process.

  In step S320, the image input apparatus 200 selects, as a reference image, a divided image captured at an imaging position where the imaging optical axis is closest to the document surface of the subject 216 during imaging. For example, in FIG. 7, it is assumed that the divided image 41 is selected as the reference image.

  Progressing to step S321 following step S320, the image input apparatus 200 performs image alignment between the divided image 41 and another divided image adjacent to the divided image 41. In FIG. 7, the image input apparatus 200 searches for a position having the highest correlation value by performing cross-correlation between the divided image 41 and the divided image 42 and performs alignment.

  Proceeding to step S322 following step S321, the image input apparatus 200 fixes the divided image 42 at a position having the highest correlation value, and generates a combined image obtained by combining the divided image 41 and the divided image 42.

  Progressing to step S323 following step S322, the image input apparatus 200 determines whether or not the synthesis processing of all the divided images has been completed. If the combining process has not been completed, the process proceeds to step S321, where a combined image that has already been generated and a divided image that has not yet been combined are sequentially combined to generate a new combined image. For example, in FIG. 7, a new composite image is generated by combining the composite image generated in step S322 and the split image 43, and a split image 44 is further combined.

  When the compositing process is completed and one whole image is generated from the divided images, the image input apparatus 200 ends the process.

  In this manner, image shift can be corrected by calculating cross-correlation between adjacent divided images and performing synthesis processing. Therefore, a synthesized image that is smoothly synthesized can be obtained even when a rotation error occurs due to the rotational movement unit 213. Accordingly, the rotational movement unit 213 can be configured with an inexpensive mechanism, and the imaging unit 211 can also be configured to be detachable that may cause a slight displacement.

  As described above, according to the image input device 200 in the second embodiment, since the imaging magnification is determined based on the size of the character represented on the subject 216, it is possible to photograph at a resolution suitable for character recognition. it can. In addition, according to the image input device 200, even when a desired area cannot be captured at a single time with an imaging magnification determined based on the character size, divided imaging is performed with an appropriate number of divisions based on the imaging magnification. Thus, image data of the entire desired area can be obtained.

  Next, a third embodiment will be described. FIG. 9 is a diagram illustrating a configuration example of the image input apparatus according to the third embodiment. 9, parts that are the same as those shown in FIG. 3 are given the same reference numerals, and explanation thereof is omitted. As shown in FIG. 9, the image input device 300 is obtained by adding a light projecting unit 219 to the image input device 200 (FIG. 3). The light projecting unit 219 is for projecting a predetermined figure onto the subject 316.

  Next, the operation of the image input apparatus 300 when shooting a predetermined area of the subject 316 will be described.

  The operator touches the vertex A, vertex B, vertex D, and vertex C using the pen-type device 220 (see FIG. 2). Then, the image input apparatus 300 can obtain the three-dimensional coordinate group of the area that the operator wants to shoot by calculating the coordinates of the ABDC by the coordinate detection unit 307 and connecting the four points in order.

  The image input device 300 performs coordinate transformation on the three-dimensional coordinate group, thereby transforming into an imaging coordinate system having the imaging center as the origin and the optical axis as the Z axis. Note that the X axis and Y axis of the imaging coordinate system are aligned with the arrangement axis of the imaging element.

  Subsequently, the image input apparatus 300 projects a plurality of black squares onto the subject 306 from the light projecting unit 309.

  FIG. 10 is a diagram illustrating a state of a subject on which a black square is projected. In the example shown in FIG. 10, five black squares are projected on the subject 306. These quadrangles are projected so as to have a size of, for example, 5 points, 10 points, 12 points, 14 points, and 17 points (from the left) on the plane on which the support portion 212 exists. is there.

  When the operator uses the pen-type device 220 to indicate, from the five types of quadrangles, a type that is the smallest in size among the types existing in the region 312, the image input apparatus 300 displays coordinates. The coordinates of the position instructed by the pen-type device 220 by the detection unit 217 are calculated, and the operator selects by comparing the coordinates of the position touched by the pen-type 220 with the coordinates of each projected rectangle. Determine the rectangle.

  Subsequently, the image input apparatus 300 determines the area of the selected rectangle as the area of the minimum character in the subject 316 (hereinafter referred to as “minimum area”).

  Note that the selectable character size is not limited to five types, but may be selected from ten types using projection switching or the like. Alternatively, the minimum character size may be input as a numerical value using another device.

  Subsequently, the image input device 300 extracts the three-dimensional coordinates that are at the farthest distance from the optical axis from the three-dimensional coordinate group. From the value (P) obtained by substituting the coordinate (X, Y, Z) in the imaging coordinate system of the three-dimensional coordinate and the positive square root (L) of the minimum area into the above-described equation (1). Determine the imaging magnification.

  Subsequently, the image input device 300 projects vertices belonging to the three-dimensional coordinate group to a position where a straight line formed by connecting the vertex and the camera center intersects with a plane on which the support unit 212 exists.

  FIG. 11 is a diagram illustrating a state in which vertices belonging to the three-dimensional coordinate group are projected. In FIG. 11, A9, B9, C9, and D9 are projections of vertices A, B, C, and D belonging to the three-dimensional coordinate group, respectively.

  Subsequently, the image input apparatus 300 determines a division position when the subject 316 is divided and photographed.

  First, the image input device 300 divides the subject 316 with a predetermined position as a reference (this case is referred to as “shooting method 1”), that is, the number of divided regions related to the shooting region, that is, shooting. The number of times of shooting necessary for dividing and shooting the area is determined.

  For example, FIG. 11 shows an example in the case of shooting by 16 divisions divided by the areas indicated by 1-1 to 1-16. In this case, in order to photograph A9B9D9C9 which is a photographing area, 12 times of 1-1 to 1-3, 1-5 to 1-7, 1-9 to 1-11, and 1-13 to 1-15 are performed. You can see that you need to shoot.

  In FIG. 11, each region does not have an overlapping region for convenience, but strictly speaking, each region has a region that overlaps to some extent with an adjacent region. FIG. 12 is a diagram illustrating a state in which adjacent regions overlap each other. In FIG. 12, the region 1-1 has a region that overlaps the region 1-2, the region 1-5, and the region 1-6.

  Subsequently, the image input apparatus 300 determines the number of times of shooting when the division position is shifted by a half size of the divided area from the case of the shooting method 1 (this case is referred to as “shooting method 2”).

  FIG. 13 is a diagram illustrating a state where the division positions are shifted. FIG. 13 shows an example in which the division position is shifted by half of the division area from that in the case of FIG. By shifting the dividing position, the divided area changes from 1-1 to 1-16 to 2-1 to 2-16. As is apparent from FIG. 13, in the case of the photographing method 2, in order to photograph A9B9D9C9 which is the photographing region, 6-1, 2-1, 2-2, 2-5, 2-6, 2-9 and 2-10 are taken. It turns out that it is necessary to shoot once.

  Subsequently, the image input apparatus 300 compares the number of times of photographing in the case of the photographing method 1 with the number of times of photographing in the case of the photographing method 2, and determines a division position when the number of photographing is smaller as a division position at the time of divided photographing. To do. Therefore, in the present embodiment, the case of the photographing method 2 is adopted.

  Subsequently, the image input apparatus 300 sequentially captures images while moving the areas 2-1, 2-2, 2-5, 2-6, 2-9, 2-10, and the imaging unit 211 by the rotational movement unit 213. Do.

  When shooting is completed, the image input apparatus 300 executes the process described with reference to FIG.

  As described above, according to the image input device 300 in the third embodiment, the character size can be specified by selecting the projected figure, which reduces the burden on the operator. Can do. In addition, since the division position is determined so that the number of shootings is reduced, the time required for shooting can be shortened.

  Details of the imaging unit 11 described above will be described below. FIG. 14 is a diagram illustrating a configuration example of the imaging unit. The following description is based on the reference numerals in the first embodiment, but the same applies to the imaging unit 211 in the second and third embodiments.

  As shown in FIG. 14, the imaging unit 11 includes a zoom lens 1, a diaphragm mechanism 2, an imaging device 3, a CDS (correlated double sampling circuit) 4, an A / D converter 5, a TG (timing generator) 6, an IPP. (Image preprocessing circuit) 7, memory 8, MPU (Micro Processing Unit) 9, and the like.

  An image of the subject is formed on the image sensor 3 by the zoom lens 1 and the diaphragm mechanism 2. An image signal from the image sensor 3 is sampled by a CDS (correlated double sampling circuit) 4 and then converted into a digital signal by an A / D converter 5. The timing at this time is generated by a TG (timing generator) 6. Thereafter, the image signal is subjected to image processing such as aperture correction, compression, and the like in an IPP (image preprocessing circuit) 7 and stored in the memory 8.

  The operation of the image input device 100, 200, or 300 described above is controlled by the MPU 9 by reading a program stored in the memory 8.

  The preferred embodiments of the present invention have been described in detail above, but the present invention is not limited to such specific embodiments, and various modifications can be made within the scope of the gist of the present invention described in the claims.・ Change is possible.

It is a figure which shows the structural example of the image input device in 1st embodiment. It is a figure for demonstrating the operation | movement at the time of image input of a to-be-photographed object. It is a figure which shows the structural example of the image input device in 2nd embodiment. It is a flowchart for demonstrating operation | movement of the image input device in 2nd embodiment. It is a figure which shows the example of the to-be-photographed object in 2nd embodiment. It is a figure for demonstrating the determination method of the frequency | count of a division | segmentation. It is a figure which shows a mode that a divided image is synthesize | combined. It is a flowchart for demonstrating the detail of a synthetic | combination process. It is a figure which shows the structural example of the image input device in 3rd embodiment. It is a figure which shows the mode of the to-be-photographed object in which the black square was projected. It is a figure which shows a mode that the vertex which belongs to a three-dimensional coordinate group was projected. It is a figure which shows a mode that an adjacent area | region overlaps. It is a figure which shows a mode that the division position was shifted. It is a figure which shows the structural example of an imaging part.

Explanation of symbols

1 Lens 2 Aperture Mechanism 3 Image Sensor 4 CDS
5 A / D converter 6 TG
7 IPP
8 Memory 9 MPU
DESCRIPTION OF SYMBOLS 11 Imaging part 12-1, 12-2, 12-3, 212-1, 212-2, 212-3 Support part 13, 231 Rotation movement part 14 Support part rotation part 15, 215 Shooting switch 16, 216, 316 Subject 17-1, 17-2, 17-3, 217-1, 217-2, 217-3 Coordinate detection unit 20, 220 Pen type device 100, 200, 300 Image input device

Claims (14)

An image input device for recording captured information as image data,
A character size determining means for receiving input of information regarding the size of the character represented on the subject and determining the size of the character;
Imaging magnification determining means for determining an imaging magnification based on the size of the character determined by the character size determining means;
An image input apparatus for photographing the subject with an imaging magnification determined by the imaging magnification determining means. The character size determining means includes
Having an indication position detecting means for detecting an indication position by a predetermined indication object;
The image input device according to claim 1, wherein the size of the character is determined based on the designated position detected by the designated position detecting unit. 3. The character size determining unit according to claim 2, wherein the character size determining unit determines the size of the character based on a size of a figure formed by the set of the designated positions detected by the designated position detecting unit. Image input device. A projection means for projecting a predetermined figure;
The character size determining means determines the size of the character by determining an instruction of the predetermined figure by the predetermined indicating object based on the indicated position detected by the indicated position detecting means. The image input device according to claim 2. The projecting means simultaneously projects a plurality of figures having different sizes,
The character size determination means determines the size of the character by determining a figure designated by the predetermined pointing object from the plurality of figures based on the pointing position detected by the pointing position detection means. The image input device according to claim 4, wherein: 6. The method according to claim 1, further comprising division number determining means for determining the number of divisions when dividing a predetermined area of the subject based on the imaging magnification determined by the imaging magnification determining means. An image input device according to claim 1. The division number determining means is configured to shift the number of divided areas related to the predetermined area when divided according to a first division position determined by a predetermined reference, and a second amount shifted by a predetermined amount from the first division position. 7. The image according to claim 6, wherein a division position at the time of photographing the predetermined area is determined by comparing the number of divided areas related to the predetermined area when the predetermined area is divided. Input device. An image input method in an image input apparatus for recording captured information as image data,
A character size determination procedure for accepting input of information regarding the size of the character represented on the subject and determining the size of the character;
An imaging magnification determination procedure for determining an imaging magnification based on the size of the character determined by the character size determination means;
An image input method for photographing the subject with an imaging magnification determined by the imaging magnification determining means. The character size determination procedure includes:
An instruction position detection procedure for detecting an instruction position by a predetermined pointing object;
9. The image input method according to claim 8, wherein the size of the character is determined based on the designated position detected in the designated position detection procedure. 10. The character size determining procedure according to claim 9, wherein the character size is determined based on a size of a figure formed by the set of the indicated positions detected by the indicated position detecting procedure. Image input method. A projection procedure for projecting a predetermined figure;
The character size determination procedure determines the size of the character by determining an instruction of the predetermined figure by the predetermined pointing object based on the pointing position detected in the pointing position detection procedure. The image input method according to claim 9. The projecting procedure simultaneously projects a plurality of figures having different sizes,
In the character size determination procedure, the size of the character is determined by determining a graphic instructed by the predetermined pointing object from the plurality of graphics based on the pointing position detected in the pointing position detection procedure. The image input method according to claim 11, wherein: 13. The division number determination procedure for determining a division number for dividing and photographing a predetermined area on the subject based on the imaging magnification determined in the imaging magnification determination procedure. An image input method according to claim 1. The division number determination procedure includes the number of divided areas related to the predetermined area when divided according to a first division position determined by a predetermined reference, and a second amount shifted by a predetermined amount from the first division position. 14. The image according to claim 13, wherein a division position at the time of photographing the predetermined area is determined by comparing with a number of divided areas related to the predetermined area when the predetermined area is divided. input method.

Images