JP2007104246A - Apparatus and method for processing image taken by camera - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To find the relation between a photographing range and a region watchable with a finder. <P>SOLUTION: The above problem is solved by providing a regional information acquisition means for acquiring regional information, a correction information storage means for storing the regional information acquired by the regional information acquisition means in a storage making it correspond to photographing device identification information, a correction information acquisition means for acquiring the regional information from the storage on the basis of the photographing device identification information made to correspond to photographed images, and a correction means for correcting the photographed images by using the regional information. <P>COPYRIGHT: (C)2007,JPO&INPIT

Description

  The present invention relates to a camera shot image processing apparatus and a camera shot image processing method.

  When taking a picture using a digital camera, the photographer looks at the viewfinder and determines the composition of the picture to be taken. For this reason, it is desirable that the image observed through the viewfinder and the image captured by the image sensor of the digital camera are exactly the same. But for a variety of reasons, it is rarely realized.

  The reason is, for example, the problem of view rate. The field of view rate is a number indicating what percentage of the actually photographed image can be viewed with the viewfinder. In general, a digital single-lens reflex camera has a field of view of 90 to 100%, and a compact digital camera often has a field of view of less than that. In other words, even if the photographer determines the composition by looking at the viewfinder, the photograph is actually taken in a larger range.

  Further, when a finder optical system and a photographing optical system are separately provided as in a compact digital camera, parallax occurs in principle. For this reason, the relationship between the actually captured range and the range that can be viewed with the viewfinder varies depending on the distance to the subject.

  Furthermore, the captured image may be distorted due to distortion of the image sensor, such as when the image sensor is tilted due to the camera body falling or colliding.

  In general, a digital camera is provided with a liquid crystal monitor (LCD (liquid crystal monitor)) in addition to a viewfinder as a mechanism for confirming an image to be taken. Since the LCD displays the entire range of the image to be taken, it can be said that the above problem can be solved by using the LCD. However, the LCD has the disadvantages that it consumes power and makes the battery worse. Furthermore, in the case of a digital single-lens reflex camera, because of its structure, it cannot be taken while looking at the LCD.

  It is not easy to optically and mechanically solve the above-mentioned problem that “the actual photographed range and the range that can be viewed with the viewfinder” are different, and the manufacturing cost is remarkably increased. Therefore, a method for solving the problem in software is considered.

  For example, according to Patent Document 1, in a digital camera having a finder optical system and a shooting optical system separately, a parallax correction amount is acquired and recorded from subject distance, lens focal length, and the like, and an output image is corrected. I can do it. Or, at the time of saving, the captured image is trimmed so as to be in the same range as the viewfinder field of view.

Japanese Patent Laid-Open No. 11-344746

  However, there are individual differences in how to attach a digital camera lens or image sensor. That is, there is a problem that the relationship between the shooting range and the range that can be viewed with the viewfinder differs depending on the individual camera.

  The present invention has been made in view of the above problems, and an object of the present invention is to notify the relationship between a captured range and a range viewed with a viewfinder regardless of individual differences between cameras.

  Therefore, in order to solve the above problem, the camera-captured image processing apparatus of the present invention includes a region information acquisition unit that acquires region information related to a region observed through a finder during shooting, and the region acquired by the region information acquisition unit. Based on the correction information storage means for storing the information in the storage means in association with the imaging apparatus identification information for identifying the imaging apparatus, and the storage means based on the imaging apparatus identification information associated with the captured image, the region Correction information acquisition means for acquiring information, and correction means for correcting the captured image using the region information acquired by the correction information acquisition means.

  According to the camera-captured image processing device of the present invention, a region information acquisition unit that acquires region information related to a region observed through a finder at the time of shooting, and the region information acquired by the region information acquisition unit are identified as a shooting device. Correction information storage means for storing in the storage means in association with imaging apparatus identification information to be performed, and correction information acquisition for acquiring the area information from the storage means based on the imaging apparatus identification information associated with the captured image Means for correcting the captured image using the region information acquired by the correction information acquiring unit, for example, correcting the captured image to show the region on the captured image. You can create a finder image depicting a rectangle, or create a finder image by cutting out the area from the captured image, regardless of the individual difference of the camera, Can inform and shadow range, the relationship between the range seen in the viewfinder.

  Note that the camera-captured image processing apparatus corresponds to, for example, a computer system to be described later, or a part that does not include the printer 108 and the digital camera 110 of the computer system.

  In order to solve the above problem, the present invention may be a camera-captured image processing method, a camera-captured image processing program, and a storage medium.

  According to the present invention, it is possible to notify the relationship between the captured range and the range viewed with the viewfinder regardless of the individual differences of the cameras.

  Embodiments of the present invention will be described below with reference to the drawings.

  FIG. 1 is a block diagram showing a configuration of a computer system (computer). In FIG. 1, reference numeral 101 denotes a CPU which controls the entire computer system. Reference numeral 102 denotes a keyboard, which is used by an operator to input information to the computer system together with the mouse 102a. Reference numeral 103 denotes a display device which includes a CRT (Cathode Ray Tube), a liquid crystal, or the like. Reference numeral 104 denotes a ROM (Read Only Memory). Reference numeral 105 denotes a RAM (Random Access Memory). The ROM 104 and the RAM 105 constitute a system storage device, and store programs executed by the computer system and data used by the computer system.

  Reference numeral 106 denotes an HDD (Hard Disk Drive). Reference numeral 107 denotes a removable disk. The HDD 106 and the removable disk 107 constitute an external storage device used for a file system of a computer system. Reference numeral 108 denotes a printer.

  Reference numeral 109 denotes a network I / F that connects the computer system to a LAN (Local Area Network) or a WAN (Wide Area Network). The computer system exchanges data files such as computer programs and digital images with other computer systems through the network I / F 109. Programs and data are stored in the HDD 106 or directly expanded in the RAM 105 and executed by the CPU 101. Reference numeral 110 denotes a digital camera (digital single-lens reflex camera). A captured image stored in the digital camera 110 or a captured image captured by the digital camera 110 is stored in the RAM 105, HDD 106, and removable disk 107.

  FIG. 2 is a simplified diagram of a digital camera. In FIG. 2, reference numeral 201 denotes a camera lens that projects an image on an image sensor. Reference numeral 202 denotes a mirror that is flipped up as shown by a broken line when an image is captured on the image sensor. Reference numeral 203 denotes an image sensor (CCD (Charge Coupled Devices) or CMOS (Complementary Metal Oxide Semiconductor) sensor) on which an image is captured. Reference numeral 204 denotes a pentaprism for guiding light to the viewfinder. Reference numeral 205 denotes a viewfinder for monitoring an image incident on the lens 201 of the camera. Reference numeral 206 denotes an LCD that monitors an image captured on the image sensor.

  In order to take an image using the digital camera shown in FIG. 2, the photographer monitors the composition of the image while looking at the viewfinder 205. At this time, the light passing through the camera lens 201 is reflected by the mirror 202 and enters the pentaprism 204. The light reflected in the pentaprism 204 is projected from the viewfinder 205. When the photographer views the light projected from the finder 205, the image to be photographed can be monitored. When the photographer presses the shutter, the mirror 202 is flipped up, and the light that has passed through the camera lens 201 is projected to the image sensor surface without being reflected by the mirror 202 and stored as image data.

  FIG. 3 is a diagram illustrating an example of an image captured by a digital camera. In this figure, the area surrounded by the solid line frame is the entire range of the captured image, and is hereinafter referred to as the imaging range. A region surrounded by a broken line frame is a region seen through the finder 205 in FIG. 2 at the time of shooting, and is hereinafter referred to as a finder region. In many cases, the finder area is narrower than the shooting range.

  FIG. 3A shows an example in which the finder area is not inclined with respect to the imaging range. FIG. 3B is a diagram illustrating an example in which the finder area is inclined with respect to the imaging range.

  FIG. 4 is a diagram illustrating an example of data used in the present embodiment. In FIG. 4, 401 is a digital camera. Reference numeral 402 denotes a camera ID for identifying the digital camera 401, which is represented by a camera model name, body number, or the like. Reference numeral 403 denotes image data (captured image) captured by the digital camera 401. A file 404 output from the digital camera 401 includes a camera ID 402 and a captured image 403.

  Reference numeral 405 denotes information representing the position and size of the finder area in the captured image 403, and is referred to as area information. Reference numeral 406 denotes information representing the inclination of the finder region in the captured image 403, and is referred to as inclination information. Reference numeral 407 denotes a database in which correction information including area information 405 and tilt information 406 is stored in association with the camera ID 402. The correction information database 407 is stored in the HDD 106 or stored in another computer through the I / F 109. Reference numeral 408 denotes an evaluation object (evaluation object) that is used to acquire the region information 405 and the tilt information 406 from the captured image 403 by shooting with the digital camera 401. Reference numeral 409 denotes a finder image obtained by reproducing and creating an image monitored through the finder at the time of photographing based on the photographed image 403.

  Hereinafter, with reference to FIG. 5 to FIG. 9, a method of acquiring the region information 405 when the finder region is not inclined with respect to the imaging range as illustrated in FIG. 3A will be described.

  FIG. 5 is a flowchart illustrating an example of processing using a computer system that creates the region information 405 and stores it in the correction information database 407.

  In step S501, an evaluation object 408 used to obtain the area information 405 is created. An example of the created evaluation object 408 is shown in FIG. In this embodiment, the evaluation object 408 used for evaluating the finder region is a rectangle in which a solid rectangle is drawn at the center of a rectangular blank sheet, and the blank sheet is sufficiently larger than the shooting range. Shall.

  In FIG. 6A, a region V surrounded by a broken line frame is the entire range of the object. A rectangle R filled with a single color is drawn at the center of the region V, and each side is parallel to a corresponding side of the region V. Further, the aspect ratio of the rectangle R is the same as the aspect ratio of the finder area.

  In step S502, the evaluation object 408 created in step S501 is photographed with the digital camera 401. For example, the photographer fixes the evaluation object 408 created in step S501 perpendicular to the ground. For example, the photographer fixes the digital camera 401 that captures the evaluation object 408 with a tripod or the like so that the viewfinder surface is parallel to the evaluation object 408. In addition, for example, the photographer adjusts the height, position, inclination, and magnification of the lens 201 so that the region observed through the viewfinder 205 matches the rectangle R on the evaluation object 408. However, for example, the photographer adjusts the tilt within a range in which the finder surface is parallel to the surface of the evaluation object 408.

  The photographed image (the photographed image 403 of the evaluation object 408) is stored in a memory in the digital camera 110, the RAM 105, the HDD 106, or the removable disk 107 as a photograph file together with the camera ID 402 of the digital camera 401.

FIG. 6B is a diagram illustrating an example of the captured image 403 of the evaluation object 408 illustrated in FIG. In FIG. 6B, an area surrounded by a broken line frame is an imaging range. Also, a rectangle R ′ filled with a single color is a photograph of the rectangle R in FIG. 6A and corresponds to a finder region. The width and height of the rectangle R ′ are W _f pixels and H _f pixels, respectively. Also, the upper left end point of the rectangle R 'and P _1, the position of P _1, as a starting point at the upper left of the imaging range, to the horizontal direction x _1-pixel, and a point advanced vertical y ₁ pixel.

In step S503, x ₁ , y ₁ , W _f , and H _f values are acquired as region information 405 from the captured image 403 of the evaluation object 408 shown in FIG. FIG. 7 is a diagram showing an example of a coordinate system for the captured image 403 of the evaluation object 408 in FIG. 6B, where the upper left corner of the shooting range is the origin, the right direction is + x, and the downward direction is + y. . In the coordinate system shown in FIG. 7, it is assumed that the width and height of the imaging range are x _end and y _end , respectively. Further, the coordinates of the four corner points of the rectangle R ′ are (x ₁ , y ₁ ), (x ₂ , y ₁ ), (x ₁ , y ₂ ), and (x ₂ , y ₂ ), respectively. Note that (x ₁ , y ₁ ) corresponds to the coordinates of the point P ₁ in FIG. Details of the method of acquiring each value will be described later.

In step S504, the values of x ₁ , y ₁ , W _f , and H _f obtained in step S504 are stored in the correction information database 407 in association with the camera ID 402. The values of x ₁ , y ₁ , W _f , and H _f are set as region information 405. FIG. 8 is a diagram (part 1) illustrating an example of the correction information database 407.

(Description of area information acquisition processing)
A process using a computer system that acquires values of x ₁ , y ₁ , W _f , and H _f will be described with reference to the flowchart of FIG. 9. Note that the captured image 403 of the evaluation object 408 can be accessed as a two-dimensional array of pixels, and the position of each pixel conforms to the coordinate system shown in FIG. Also, c (i, j) represents the color of the pixel at coordinates (i, j).

At step S701, the substitutes -1 x _1. In step S702, 0 is substituted for variable j. In step S703, 0 is substituted for variable i.

  In step S704, the color of the pixel at the coordinates (i, j) is compared with the color of the pixel at the coordinates (i-1, j). If the difference between the pixel color at the coordinates (i, j) and the pixel color at the coordinates (i−1, j) is larger than a predetermined threshold stored in the HDD 106 or the like, for example, The process proceeds to step S705. On the other hand, if the difference between the color of the pixel at the coordinates (i, j) and the color of the pixel at the coordinates (i-1, j) is not larger than a predetermined threshold stored in the HDD 106, for example, The process proceeds to S708.

At step S705, the value of the variable i to x _2, substitutes the value of variable j to y _2. At step S706, the it is determined whether x ₁ is -1. The computer system determines that x ₁ is -1, the operation proceeds to step S707. On the other hand, when x ₁ is determined not -1, the process proceeds to step S 708. Here, x ₁ = −1 means that a rectangle appears for the first time.

At step S707, the value of the variable i to x _1, substitutes the value of variable j to y _1. In step S708, the value of variable i is incremented by one.

In step S709, the value of the variable i is compared with _xend . Computer system, and the value of the variable i is greater than x _{end The,} the process proceeds to step S710, the value of the variable i is not greater than x _{end The,} the process proceeds to step S704.

In step S710, the value of variable j is incremented by one. In step S711, the value of j is compared with y _end . If the value of j is larger than y _end , the process proceeds to step S712. If the value of j is not larger than y _end , the process proceeds to step S703.

In step S712, the value x ₂ −x ₁ is substituted for W _f and the value y ₂ −y ₁ +1 is substituted for H _f , and then the process is completed.

  Next, referring to FIGS. 10 to 12, a method of creating a finder image 409 using a computer system from a captured image 403 (for example, a captured image 403 obtained by capturing a person or the like) using region information 405. explain.

  FIG. 10 is a flowchart (part 1) illustrating an example of the finder image 409 creation process. In step S <b> 1001, the shooting file 404 is read and stored in the RAM 105. In step S1002, the camera ID 402 in the shooting file 404 is acquired and stored in the RAM 105.

  In step S1003, it is confirmed whether or not there is information corresponding to the camera ID 402 in the correction information database 407. When there is information corresponding to the camera ID 402 in the correction information database 407, the process proceeds to step S1004. If there is no information corresponding to the camera ID 402 in the correction information database 407, the process proceeds to step S1006.

  In step S <b> 1004, area information 405 corresponding to the camera ID 402 is acquired from the correction information database 407 and stored in the RAM 105. In step S1005, a finder image 409 is created from the photographed image 403 (for example, the photographed image 403 obtained by photographing a person) using the region information 405. Details of creating the finder image 409 from the captured image 403 (for example, a captured image 403 obtained by capturing a person or the like) will be described later.

  In step S1006, the finder image 409 created in step S1005, or the finder image 409 and the photographed image 403 (for example, the photographed image 403 obtained by photographing a person or the like) is drawn by the display unit 103 or the printer. The finder image 409 may be stored in any of the RAM 105, the HDD 106, and the removable disk 107, or may be stored in another storage area connected via the network I / F 109.

(Description of viewfinder image creation processing)
A process of creating a finder image from a photographed image 403 (for example, a photographed image 403 obtained by photographing a person or the like) using each value of x ₁ , y ₁ , W _f , and H _f will be described with reference to the flowchart of FIG. Note that a captured image 403 (for example, a captured image 403 obtained by capturing a person or the like) can be accessed as a two-dimensional array of pixels, and the i-th pixel in the horizontal direction and the j-th pixel in the vertical direction starting from the upper left are p (i, j ). Further, an area of W _f pixels × H _f pixels is secured on the RAM 105, and the area is filled with white. The area filled with white is defined as a finder image. The viewfinder image can be accessed as a two-dimensional array of pixels, and the top left is the i'th pixel in the horizontal direction and the j'th pixel in the vertical direction is p '(i', j ').

In step S1101, it substitutes y ₁ to the variable j. In step S1102, substitutes x ₁ to variable i. In step S1103, 'the i-x ₁ to the variable j' variable i is substituted for j-y ₁ in. Thereafter, the value of the pixel p (i, j) of the photographed image 403 (for example, the photographed image 403 obtained by photographing a person or the like) is copied to the pixel p ′ (i ′, j ′) of the finder image.

In step S1104, the value of variable i is incremented by one. In step S1105, the value of the variable i is compared with x ₁ + W _f . If the value of the variable i is larger than x ₁ + W _f , the process proceeds to step S1106. If the value of the variable i is not larger than x ₁ + W _f , the process proceeds to step S1103.

In step S1106, the value of variable j is incremented by one. In step S1107, the computer system compares the value of the variable j with y ₁ + H _f . And the value is greater than y ₁ + H _f of the variable j, and the process ends, the value of the variable j is not greater than y ₁ + H _f, the process proceeds to step S1102.

  As a result of the processing shown in FIG. 11, an image obtained by clipping a captured image 403 (for example, a captured image 403 obtained by capturing a person or the like) in the finder region is obtained as a finder image. Note that the photographed image 403 (for example, a photographed image 403 obtained by photographing a person or the like) may be surrounded by a frame or masked so that the region portion can be seen without being cut out in the finder region. The image created in this way may be a finder image.

  FIG. 12 is a conceptual diagram of the processing shown in FIG. FIG. 12A is a diagram showing the positional relationship of the finder region with respect to a captured image 403 (for example, a captured image 403 obtained by capturing a person or the like). FIG. 12B shows an image (finder image) surrounded by a frame so that the region portion can be seen.

  As shown in FIG. 3B of the first embodiment, the finder region may be inclined with respect to the shooting range. As described above, when the finder area is tilted with respect to the shooting range, the computer system is used from the tilt information 406, the acquisition method of the area information 405, and the shot image 403 (for example, the shot image 403 obtained by shooting a person or the like). A method for creating the finder image 409 will be described below in the second embodiment.

  First, with reference to FIG. 13 to FIG. 21, a method for acquiring the area information 405 and the inclination information 406 when the finder area is inclined with respect to the imaging range as shown in FIG. 3B will be described.

  FIG. 13 is a flowchart illustrating an example of processing for acquiring the tilt information 406 and the region information 405 and storing it in the correction information database 407.

  In step S1301, an evaluation object 408 used to obtain the tilt information 406 is created. An example of the created evaluation object 408 is shown in FIG. In this embodiment, the evaluation object 408 used for evaluating the inclination is a rectangular blank sheet in which a horizontal line passing through the center of the rectangle is drawn, and the blank sheet is sufficiently larger than the shooting range. .

In FIG. 14A, a region V surrounded by a broken line frame is the entire range of the object. The straight line L _h is a horizontal line drawn so as to be parallel to the long side of the region V.

In step S1302, the evaluation object 408 created in S1301 is photographed with the digital camera 401. For example, the photographer fixes the evaluation object 408 perpendicular to the ground. For example, the photographer fixes the digital camera 401 that captures the evaluation object 408 with a tripod or the like so that the viewfinder surface is parallel to the evaluation object 408. Further, for example, the photographer, as the straight line L _h in the area to be observed through the viewfinder 205 is caught on the horizontal, the height and position of the digital camera 401, tilt, adjusts the magnification or the like of the lens. However, for example, the photographer adjusts the tilt within a range in which the finder surface is parallel to the surface of the evaluation object 408.

  The captured image (the captured image 403 of the evaluation object 408) is stored as a captured file together with the camera ID 402 of the digital camera 401 in any of the memory in the digital camera 110, the RAM 105, the HDD 106, and the removable disk 107.

FIG. 14B is a diagram illustrating an example of the captured image 403 of the evaluation object 408 illustrated in FIG. In FIG. 14B, an area surrounded by a broken line frame is an imaging range. A straight line L _h ′ is a straight line obtained by photographing the straight line L _h in FIG. 14A and is inclined by θ ° with respect to the horizontal line. θ is expressed in units of degrees in the range of −90 to +90 with the clockwise direction being positive in the figure.

In step S1303, the value of θ is acquired as the tilt information 406 from the captured image 403 of the evaluation object 408 shown in FIG. FIG. 15 is a diagram showing an example of a coordinate system for the captured image 403 of the evaluation object 408 in FIG. 14B, where the upper left corner of the shooting range is the origin, the right direction is + x, and the downward direction is + y. . Here, it is assumed that the width and height of the shooting range are x _end and y _end , respectively. Further, the y coordinate of the intersection of the straight line L _{h ′} and the y axis is y _r1 , and the y coordinate of the intersection of L _{h ′} and the line x = x _end is y _r2 . FIG. 15A is a diagram illustrating an example of a coordinate system when θ is positive. FIG. 15B is a diagram illustrating an example of a coordinate system when θ is negative. Details of the method of obtaining θ will be described later.

In steps S1304 and S1305, the evaluation object 408 used to obtain the region information 405 is created and photographed. Note that the processing in steps S1304 and S1305 is the same as the processing described in steps S501 and S502 in FIG. An example of the created evaluation object 408 is shown in FIG. FIG. 16B is a diagram illustrating an example of the captured image 403 of the evaluation object 408 illustrated in FIG. In FIG. 16B, an area surrounded by a broken line frame is an imaging range. A rectangle R ′ filled with a single color is obtained by photographing the rectangle R in FIG. 16A and corresponds to a finder region. The width and height of the rectangle R ′ are W _f pixels and H _f pixels, respectively. Also, the upper left end point of the rectangle R 'and P _1, the position of P _1, as a starting point at the upper left of the imaging range, to the horizontal direction x _1-pixel, and a point advanced vertical y ₁ pixel. Further, in FIG. 16B, the inclination of the finder area with respect to the photographing range is represented by θ.

In step S1306, the captured image 403 of the evaluation object 408 shown in FIG. 16B is rotated so that the finder region is horizontal based on the tilt information acquired in step S1303. FIGS. 17A and 18A show the photographed image 403 of the evaluation object 408 in FIG. 16B with the upper left corner of the photographing range as the origin, the right direction from the origin as + x, and the downward direction as + y. It is a figure which shows a coordinate system. FIG. 17 is a diagram illustrating an example of a coordinate system when θ is positive. FIG. 18 is a diagram illustrating an example of a coordinate system when θ is negative. In the coordinate systems shown in FIG. 17 and FIG. 18, the width and height of the imaging range are x _end and y _end , respectively. Further, the coordinates of the four corner points of the rectangle R ′ are (x ₁ , y ₁ ), (x ₂ , y ₁ ), (x ₁ , y ₂ ), and (x ₂ , y ₂ ), respectively. Note that (x ₁ , y ₁ ) corresponds to the coordinates of the point P1 in FIG.

FIGS. 17B and 18B are diagrams showing examples in which the captured image 403 of the evaluation object 408 is rotated by θ degrees in the coordinate systems shown in FIGS. 17A and 18A, respectively. It is. In FIGS. 17B and 18B, the area surrounded by the solid line frame is a rectangle so that the rotated imaging range is just within the range and each side is parallel to the corresponding side of the finder area. It is drawn. Hereinafter, this area is referred to as an inclination correction area. The computer system creates an image in which all pixels in the tilt correction area other than the viewfinder area are white, and stores the image in the RAM 105. Hereinafter, this image is referred to as an inclination corrected image. Here, consider a coordinate system in which the upper left corner of the tilt correction area is the origin, the right direction from the origin is + x ′, and the downward direction is + y ′. In FIG. 17B and FIG. 18B, x ₁ ′, y ₁ ′, x ₂ ′, y ₂ ′, x _end ′, and y _end ′ are the same as those in FIG. 17A and FIG. Points on the x′y ′ plane corresponding to x ₁ , y ₁ , x ₂ , y ₂ , x _end , y _end in the xy plane. Details of the method of rotating the captured image 403 will be described later.

  In step S1307, the position and size of the finder area in the inclination correction area are acquired as area information 405 from the inclination correction image created in step S1306. The computer system performs the processing shown in FIG. 9 of the first embodiment, and acquires the position and size of the finder region in the tilt correction region as the region information 405 from the tilt correction image.

  In step S1308, the inclination information 406 acquired in step S1303 and the area information 405 acquired in step S1307 are stored in the correction information database 407 in association with the camera ID 402. FIG. 19 is a diagram (part 2) illustrating an example of the correction information database 407.

(Explanation of tilt information acquisition processing)
Processing using a computer system that acquires the value of θ will be described with reference to the flowchart of FIG. Note that the captured image 403 of the evaluation object 408 can be accessed as a two-dimensional array of pixels, and the position of each pixel conforms to the coordinate system of FIG. Also, c (i, j) represents the color of the pixel at coordinates (i, j). In step S1501, the computer system substitutes 0 for a variable j.

  In step S1502, 0 is substituted for variable i. In step S1503, the color of the pixel at the coordinates (i, j) is compared with the color of the pixel at the coordinates (i, j-1). If the difference between the color of the pixel at the coordinates (i, j) and the color of the pixel at the coordinates (i, j−1) is larger than a predetermined threshold stored in the HDD 106, for example, the process proceeds to step S1504. . On the other hand, if the difference between the color of the pixel at the coordinates (i, j) and the color of the pixel at the coordinates (i, j−1) is not larger than a predetermined threshold stored in the HDD 106 or the like, for example. The process proceeds to S1505.

In step S1504, it substitutes the value of variable j to y _r1. Y _{r1 at} this time is the y coordinate of the intersection of the line L _{h ′} in FIG. 15 and the y axis.

In step S1505, x _end is substituted for variable i. In step S1506, the color of the pixel at the coordinates (i, j) is compared with the color of the pixel at the coordinates (i, j-1). If the difference between the color of the pixel at the coordinates (i, j) and the color of the pixel at the coordinates (i, j−1) is larger than a predetermined threshold stored in the HDD 106 or the like, for example, The process proceeds to step S1507. On the other hand, if the difference between the color of the pixel at the coordinates (i, j) and the color of the pixel at the coordinates (i, j−1) is not greater than a predetermined threshold stored in the HDD 106, for example, The process proceeds to step S1508.

In step S1507, it substitutes the value of variable j to y _r2. Y _{r2 at} this time is the y coordinate of the intersection of the line L _{h ′} in FIG. 15 and the line x = x _end .

In step S1508, the value of variable j is incremented by one. In step S1509, the value of variable j is compared with y _end . Computer system, the value of the variable j advances to y _{end The} larger the step S1510, the value of the variable j is advanced to step S1502 when not greater than _{end The.}

In step S1510, the value of θ is calculated by the equation θ ← atan (x _end / | y _r2 −y _r1 |), and the calculated result is substituted into θ.

In step S1511, y _r1 and y _r2 are compared. If y _r2 is greater than y _r1 , the process proceeds to step S1512. If y _r2 is not greater than y _r1 , the process ends. In step S1511, the y _r1, and check the polarity of θ from the positional relationship between the y _r2.

  In step S1512, the value of θ is set to minus, and the process ends.

(Description of Rotation Processing of Captured Image 403 of Evaluation Object 408)
A process using a computer system that rotates the captured image 403 of the evaluation object 408 shown in FIGS. 17A and 18A using the inclination information 406 (value of θ) according to the flowchart of FIG. 21 will be described. To do. Note that the captured image 403 of the evaluation object 408 can be accessed as a two-dimensional array of pixels, and the i-th pixel in the horizontal direction and the j-th pixel in the vertical direction starting from the upper left are p (i, j). In addition, the position of each pixel conforms to the coordinate system of FIGS. 17A and 18A.

Further, an area of x _{end ′} pixels × y _{end ′} pixels is secured on the RAM 105, and the area is filled with white. The area filled with white is used as an inclination correction image. The tilt-corrected image can be accessed as a two-dimensional array of pixels, and the top left is the i'th pixel in the horizontal direction and the j'th pixel in the vertical direction is p '(i', j '). Note that the position of each pixel conforms to the coordinate system of FIGS. 17B and 18B.

  In step S1801, it is confirmed whether or not the value of θ is zero. If the value of θ is 0, the process is terminated, and if the value of θ is not 0, the process proceeds to step S1802.

  In step S1802, 0 is substituted for variable j. In step S1803, 0 is substituted for variable i. In step S1804, the sign of θ is confirmed. If θ is positive, the process proceeds to step S1805, and if θ is negative, the process proceeds to step S1807.

In step S1805, a value obtained by rotating the coordinates of (i, j) by θ degrees is substituted into variables i ′ and j ′ by the equation (i ′ = icos θ + jsin θ, j ′ = − isin θ + jcos θ). In step S1806, the value obtained by translating the coordinates of (i, j) is substituted into variables i ′ and j ′ by the equation (i ′ = i ′ + y _end sin θ, j ′ = j ′).

On the other hand, in step S1807, a value obtained by rotating the coordinates of (i, j) by θ degrees is substituted into variables i ′ and j ′ by the equation (i ′ = icos θ−jsin θ, j ′ = isin θ + jcos θ). In step S1808, a value obtained by translating the coordinates of (i, j) is substituted into variables i ′ and j ′ by the equation (i ′ = i ′, j ′ = j ′ + x _end sin θ).

  In step S1809, the value of the pixel p (i, j) of the captured image 403 of the evaluation object 408 is copied to the pixel p ′ (i ′, j ′) of the tilt correction image.

In step S1810, the value of variable i is incremented by one. In step S1811, carried out the value of the variable i, the comparison with the x _{end The.} If the value of variable i is greater than x _end , the process proceeds to step S1812, and if the value of variable i is not greater than x _end , the process proceeds to step S1804.

In step S1812, the value of variable j is incremented by one. In step S1813, the value of variable j is compared with y _end . The value of the variable j is finished processing a larger y _{end The,} the value of the variable j is advanced to step S1803 to be greater than y _{end The.}

  As a result of the processing shown in FIG. 21, an inclination-corrected image is obtained. The tilt-corrected image is stored on the RAM 105 and used for subsequent processing.

  Next, referring to FIG. 22 to FIG. 23, using the tilt information 406 and the region information 405, a finder image 409 is obtained from a photographed image 403 (for example, a photographed image 403 obtained by photographing a person or the like) using a computer system. A method of creating will be described.

  FIG. 22 is a flowchart (part 2) illustrating an example of the finder image 409 creation process. In step S2201, the shooting file 404 is read and stored in the RAM 105. In step S2202, the camera ID 402 in the shooting file 404 is acquired and stored in the RAM 105.

  In step S2203, it is confirmed whether or not there is information corresponding to the camera ID 402 in the correction information database 407. If there is information corresponding to the camera ID 402 in the correction information database 407, the process advances to step S2204. If there is no information corresponding to the camera ID 402 in the correction information database 407, the process advances to step S2206.

  In step S <b> 2204, the tilt information 406 corresponding to the camera ID 402 is acquired from the correction information database 407 and stored in the RAM 105. In step S2205, processing as shown in FIG. 21 is performed, and an inclination correction image is created from the captured image 403 of the evaluation object 408 using the inclination information 406.

  In step S 2206, area information 405 corresponding to the camera ID 402 is acquired from the correction information database 407 and stored in the RAM 105. In step S2207, processing as shown in FIG. 11 is performed, and a finder image 409 is created from the tilt-corrected image created in step S2205 using the region information 405.

  In step S2208, the finder image 409 created in step S2207 is drawn on the display unit 103 or the printer. Note that the computer system may draw the photographed image 403 read in step S2201 (for example, the photographed image 403 obtained by photographing a person) with the display unit 103 or the printer 108 together with the finder image 409. In addition to the viewfinder image 409, the tilt correction image created in step S2205 may be drawn by the display unit 103 or the printer. The finder image 409 may be stored in any of the RAM 105, the HDD 106, and the removable disk 107, or may be stored in another storage area connected via the network I / F 109.

  FIG. 23 is a conceptual diagram of the processing shown in FIG. FIG. 23A is a diagram illustrating a positional relationship of the finder region with respect to a captured image 403 (for example, a captured image 403 obtained by capturing a person or the like). FIG. 23B is a diagram showing an inclination correction image. FIG. 23C shows a viewfinder image.

  In each of the above-described embodiments, the description has been made so that the acquired area information 405 and inclination information 406 are stored in the correction information database 407. However, the acquired area information 405 and inclination information 406 need not be stored in the correction information database 407. For example, the area information 405 and the inclination information 406 may be stored in the HDD 106 separately from the correction information database 407.

  Further, instead of storing the area information 405 and the inclination information 406, the captured image 403 of the evaluation object 408 may be stored in the HDD 106 separately from the correction information database 407 and the correction information database 407.

  For example, when an instruction to create a finder image 409 from an operator or the like is detected, the area information 405 and the tilt information 406 may be acquired (generated) using the evaluation object 408.

  Hereinafter, in the present embodiment, a process when the captured image 403 of the evaluation object 408 is stored in the HDD 106 in association with the camera ID 402 using a computer system will be described with reference to FIGS. 24 to 26.

  FIG. 24 is a diagram illustrating an example of data used in the present embodiment. In FIG. 24, reference numerals 401 to 409 are the same as 401 to 409 shown in FIG. Reference numeral 241 denotes a file (tilt evaluation object shooting file) obtained by shooting an evaluation object (tilt evaluation object) used to acquire tilt information, and includes a camera ID 402 and a tilt evaluation object shot image 242. Reference numeral 243 denotes a file (region evaluation object shooting file) obtained by shooting an evaluation object (region evaluation object) used for acquiring region information, and includes a camera ID 402 and a region evaluation object shooting image 244.

  FIG. 25 is a flowchart illustrating an example of processing for capturing an area evaluation object and an inclination evaluation object and storing the inclination evaluation object captured image 242 and the area evaluation object captured image 244 together with the camera ID.

  In step S2501 to step S2502, a region evaluation object is created, the region evaluation object is photographed by the digital camera 401, and a region evaluation object photographed image 244 is created. Note that the processing from step S2501 to step S2502 is the same as the processing from step S501 to step S502 in the flowchart of FIG.

  In steps S2503 to S2504, a tilt evaluation object is created, and the tilt evaluation object is photographed by the digital camera 401, and a tilt evaluation object photographed image 242 is created. Note that the processing from step S2503 to step S2504 is the same as the processing from step S1301 to step S1302 in the flowchart of FIG.

  In step S2505, the tilt evaluation object captured image 242 and the area evaluation object captured image 244 created in steps S2502 and S2504 are stored in the HDD 106 in association with the camera ID 402, respectively. Note that the tilt evaluation object shooting file 241 and the area evaluation object shooting file 243 may be stored in any of the RAM 105, the HDD 106, and the removable disk 107. Further, the tilt evaluation object shooting file 241 and the area evaluation object shooting file 243 may be stored in another storage area connected via the network I / F 109.

  FIG. 26 is a flowchart showing an example of processing for acquiring the tilt evaluation object shooting file 241 and the area evaluation object shooting file 243 and creating a finder image 409 from the shot image 403 (for example, a shot image 403 obtained by shooting a person or the like). is there.

  In step S2601, the shooting file 404 is read and stored in the RAM 105. In step S2602, the camera ID 402 in the shooting file 404 is acquired and stored in the RAM 105.

  In step S 2603, the tilt evaluation object shooting file 241 is acquired from the HDD 106 based on the camera ID 402 and stored in the RAM 105.

  In step S2604, the processing shown in FIG. 20 is performed, and the tilt information 406 is acquired using the tilt evaluation object captured image 242 included in the acquired tilt evaluation object captured file 241.

  In step S 2605, the area evaluation object shooting file 243 is acquired from the HDD 106 based on the camera ID 402 and stored in the RAM 105.

  In step S2606, processing as shown in FIG. 21 is performed, and the region evaluation object captured image 244 included in the acquired region evaluation object shooting file 243 is rotated using the acquired tilt information 406 to create a tilt correction image. To do.

  In step S2607, processing as shown in FIG. 9 is performed, and area information 405 in the inclination correction area is acquired using the inclination correction image created in step S2606.

  In steps S2608 to S2609, a finder image 409 is created and drawn from the photographed image 403 (for example, the photographed image 403 obtained by photographing a person or the like) using the tilt information 406 and the region information 405. Note that the processing from step S2608 to step S2609 is the same as the processing from step S2207 to step S2208 in FIG.

  The area information 405 and the tilt information 406 may change while the digital camera 401 is used. Therefore, it is necessary to periodically update the area information 405 and the inclination information 406, and it is desirable to be able to predict changes in the area information 405 and the inclination information 406. Hereinafter, in the present embodiment, a method for updating region information 405 and inclination information 406 and a method for predicting change using a computer system will be described with reference to FIGS. 27 to 28.

FIG. 27 is a diagram illustrating an example of storing the area information 405 and the inclination information 406 in the correction information database 407 in association with the camera ID and the update date of the correction information. In FIG. 27, C ₀ is initial correction information (that is, area information 405 and inclination information 406), and D ₀ is a date when the initial correction information C ₀ is set. Similarly, C _n represents correction information updated on the update date D _n . Here, n is a positive integer. When data (information) is added to the correction information database 407, the correction information and the update date of the correction information are always stored as a set and in ascending order of the update date. That is, D _n-1 <D _n is always satisfied.

  FIG. 28 shows an example of processing for predicting correction information on the date when a captured image 403 (for example, a captured image 403 obtained by capturing a person) is captured, and obtaining a finder image 309 based on the predicted correction information. It is a flowchart to show.

  In step S8501, the shooting file 404 is read and stored in the RAM 105. In step S8502, the camera ID 402 in the shooting file 404 is acquired and stored in the RAM 105. In step S8503, it is confirmed whether or not there is information corresponding to the camera ID 402 in the correction information database 407 as shown in FIG. If there is information corresponding to the camera ID 402 in the correction information database 407 as shown in FIG. 27, the process proceeds to step S2804. On the other hand, if there is no information corresponding to the camera ID 402 in the correction information database 407 as shown in FIG. 27, the process proceeds to step S2820.

In step S2804, the date on which the captured image 403 (for example, the captured image 403 obtained by capturing a person) is captured is acquired and stored in the RAM 105 as _Dm . In step S2805, a value obtained by subtracting 1 from the number of update dates and correction information sets (or update dates) included in the correction information database 407 as shown in FIG.

In step S2806, it is confirmed whether or not the value of the variable n is 0. If the value of the variable n is not 0, the process proceeds to step S2807. On the other hand, if the value of the variable n is 0, that is, if only C ₀ and D ₀ are stored in the correction information database 407 as shown in FIG. 27, the process proceeds to step S2807.

  In step S2807, 0 is substituted for variable k. In step S2808, the value of the variable k is incremented by 1. In step S2809, the variable k is compared with the value of the variable n. If the variable k is greater than or equal to n, the process proceeds to step S2811. On the other hand, if the variable k is not greater than or equal to the value of n, the process proceeds to step S2810.

In step S2810, the kth stored update date _Dk of the correction information database 407 as shown in FIG. 27 is acquired, and the acquired _Dk is compared with _Dm . If D _m <D _k, the process proceeds to step S2814. If D _m <D _k is not satisfied, the process proceeds to step S2808.

In step S2811, the nth update date D _n and correction information C _n stored in the correction information database 407 as shown in FIG. 27 are acquired and stored in the RAM 105. In step S2812, the update date Dn _-1 stored in the (n-1) th and the correction information Cn _{-1 in the} correction information database 407 as shown in FIG. 27 are acquired and stored in the RAM 105. At this time, D _n <D _m , and there is no correction information added after the shooting date (D _m ) of the shot image 403 (for example, a shot image 403 obtained by shooting a person or the like). Therefore, the change of the correction information after the last update date D _n is predicted from the change of the correction information between D _n−1 and D _n .

In step S2813, correction information C _m on the date D _m when the captured image 403 (for example, a captured image 403 obtained by capturing a person or the like) is captured is obtained by the following equation and stored in the RAM 105.
_{C m = C n + (D} m -D n) × (C n -C n-1) / (D n -D n-1)

In step S2814, the kth stored update date D _k and correction information C _k of the correction information database 407 as shown in FIG. 27 are acquired and stored in the RAM 105. In step S2815, the update date D _k−1 stored in the (k−1) th and the correction information C _{k−1 in the} correction information database 407 as shown in FIG. 27 are acquired and stored in the RAM 105. At this time, D _k-1 <D _m <D _k , and correction information on the shooting date D _m is obtained by linearly interpolating the correction information on D _{k-1 and} the correction information on D _k .

In step S2816, correction information C _m on the date D _m when the photographed image 403 (for example, a photographed image 403 obtained by photographing a person) is photographed is obtained by the following equation and stored in the RAM 105.
_{C m = C k-1 +} (D m -D k-1) × (C k -C k-1) / (D k -D k-1)

In step S2817, initial correction information C ₀ and date D ₀ of the correction information database 407 as shown in FIG. 27 are acquired and stored in the RAM 105. At this time, since there is only one correction information in the correction information database 407 as shown in FIG. 27, the correction information cannot be predicted. Therefore, the initial correction information C ₀ is used as it is.

In step S2818, correction information C _m on the date D _m when the captured image 403 (for example, a captured image 403 obtained by capturing a person or the like) is captured is obtained by the following equation and stored in the RAM 105.
C _m = C ₀

In step S2819, the correction information using the C _m, as shown in FIG. 11 or FIG. 18, the captured image 403 (e.g., the captured image 403 obtained by photographing a person, etc.) to create a viewfinder image 409 from.

  In step S2820, the finder image 409 created in step S2819 is drawn by the display unit 103 or the printer. The finder image 409 may be stored in any of the RAM 105, the HDD 106, and the removable disk 107, or may be stored in another storage area connected via the network I / F 109.

In this embodiment, the correction information C _m is obtained by linear interpolation of the correction information, but may be obtained using an approximate expression or the like.

In the fourth embodiment, the correction information C _m is obtained based on a plurality of correction information stored in the correction information database 407 as shown in FIG. However, more simply, the correction information C _m may be correction information updated immediately before the shooting date D _m . Hereinafter, an example using a computer system in which the correction information C _m is the correction information updated immediately before the shooting date D _m will be described with reference to FIG.

  FIG. 29 illustrates an example of processing for determining correction information on the date when a captured image 403 (for example, a captured image 403 obtained by capturing a person or the like) is captured, and obtaining a finder image 309 based on the determined correction information. It is a flowchart to show.

  In step S2901, the shooting file 404 is read and stored in the RAM 105. In step S2902, the camera ID 402 in the shooting file 404 is acquired and stored in the RAM 105. In step S2903, it is confirmed whether or not there is information corresponding to the camera ID 402 in the correction information database 407 as shown in FIG. If there is information corresponding to the camera ID 402 in the correction information database 407 as shown in FIG. 27, the process proceeds to step S2904. On the other hand, if there is no information corresponding to the camera ID 402 in the correction information database 407 as shown in FIG. 27, the process proceeds to step S2913.

In step S2904, the date when the photographed image 403 (for example, the photographed image 403 obtained by photographing a person) is photographed is acquired and stored in the RAM 105 as _Dm . Here, the correction information for D _m is C _m . In step S2905, a value obtained by subtracting 1 from the number of update dates and correction information sets (or update dates) included in the correction information database 407 as shown in FIG.

  In step S2906, 0 is substituted for variable k. In step S2907, the value of the variable k is incremented by 1. In step S2908, the variable k is compared with the value of the variable n. If the variable k is greater than the value of n, the process proceeds to step S2910. On the other hand, if the variable k is not greater than the value of n, the process proceeds to step S2909.

In step S2909, the kth stored update date _Dk of the correction information database 407 as shown in FIG. 27 is acquired, and the acquired _Dk is compared with _Dm . If D _m <D _k, the process proceeds to step S2911. If D _m <D _k is not satisfied, the process proceeds to step S2907.

In step S2910, the n-th stored correction information C _n in the correction information database 407 as shown in FIG. 27 is substituted into the correction information C _m . In step S2911, the correction information C _k-1 stored in the (k−1) th of the correction information database 407 as shown in FIG. 27 is substituted into the correction information C _m .

In step S2912, the correction information using the C _m, as shown in FIG. 11 or FIG. 18, the captured image 403 (e.g., the captured image 403 obtained by photographing a person, etc.) to create a viewfinder image 409 from.

  In step S2913, the finder image 409 created in step S2912 is drawn on the display unit 103 or the printer. The finder image 409 may be stored in any of the RAM 105, the HDD 106, and the removable disk 107, or may be stored in another storage area connected via the network I / F 109.

In the present embodiment, the correction information updated immediately before the shooting date is used as C _m , but the update date immediately before and immediately after the shooting date is compared, and the correction information closer to the shooting date is determined as C. _It may be used as _m .

(Other examples)
The purpose of each embodiment described above is to supply a storage medium storing a software program for realizing the functions of each embodiment to the system or apparatus, and the computer of the system or apparatus reads the program stored in the storage medium. It is also achieved by executing. Here, the computer is, for example, a CPU (Central Processing Unit), an MPU (Micro Processing Unit), or the like. In this case, the program itself read from the storage medium realizes the functions of the above-described embodiments, and the storage medium storing the program as well as the program constitutes the present invention.

  As described above, according to each of the above-described embodiments, it is possible to notify the relationship between the captured range and the range viewed with the viewfinder, regardless of individual differences between cameras. Further, an image viewed with a viewfinder at the time of shooting can be created from the shot image. For example, according to each of the above-described embodiments, an image viewed with a viewfinder at the time of shooting can be cut out from a shot image and displayed, printed, or saved.

  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 block diagram which shows the structure of a computer system. It is a simplified diagram of a digital camera. It is a figure which shows an example of the image image | photographed with the digital camera. It is a figure which shows an example of the data etc. which are used in a present Example. It is a flowchart which shows an example of the process which produces area | region information and preserve | saves it to a correction information database. It is FIG. (1) which shows an example of the picked-up image of an evaluation object and an evaluation object. FIG. 7B is a diagram illustrating an example of a coordinate system in which the upper left upper end of the shooting range is the origin, the right direction is + x and the lower direction is + y with respect to the shot image of FIG. 6B. It is FIG. (1) which shows an example of a correction information database. It is a flowchart which shows an example of the process which acquires area | region information from a picked-up image. It is a flowchart (the 1) which shows an example of a finder image creation process. It is a flowchart which shows the detail of the process which produces a finder image from a picked-up image. It is a conceptual diagram of the process shown in FIG. It is a flowchart which shows an example of the process which acquires inclination information and area | region information, and preserve | saves it to a correction information database. It is FIG. (2) which shows an example of the picked-up image of an evaluation object and an evaluation object. FIG. 15 is a diagram illustrating an example of a coordinate system of the captured image 403 in FIG. 14B in which the upper left end of the imaging range is the origin, the right direction from the origin is + x, and the downward direction is + y. It is FIG. (2) which shows an example of the picked-up image of an evaluation object and an evaluation object. It is a figure which shows an example of a coordinate system in case (theta) is positive. It is a figure which shows an example of a coordinate system in case (theta) is negative. It is FIG. (2) which shows an example of a correction information database. It is a flowchart which shows an example of the process which acquires inclination information from a picked-up image. It is a flowchart which shows an example of the process which rotates a picked-up image using inclination information (value of (theta)). It is a flowchart (the 2) which shows an example of a finder image creation process. It is a conceptual diagram of the process shown in FIG. It is a figure which shows an example of the data etc. which are used in a present Example. It is a flowchart which shows an example of the process which image | photographs an area | region evaluation object and an inclination evaluation object, and preserve | saves an inclination evaluation object picked-up image and an area | region evaluation object picked-up image with camera ID, respectively. 10 is a flowchart illustrating an example of processing for acquiring a tilt evaluation object shooting file and a region evaluation object shooting file and creating a finder image from the shot image. It is a figure which shows an example which matches area | region information and inclination information with a camera ID or the update date of correction information, and preserve | saves it in a correction information database. It is a flowchart which shows an example of the process until the correction information of the day when the picked-up image was image | photographed, and obtaining a finder image based on the estimated correction information. It is a flowchart which shows an example of the process until determining the correction information of the day when the picked-up image was image | photographed, and obtaining a finder image based on the determined correction information.

Explanation of symbols

101 CPU
102 Keyboard 103 Display 104 ROM
105 RAM
106 HDD
107 Removable disk 108 Printer 109 Network I / F
110 Digital Camera 201 Lens 202 Mirror 203 Image Sensor 204 Penta Prism 205 Finder 206 LCD
241 Inclination evaluation object shooting file 242 Inclination evaluation object shooting image 243 Area evaluation object shooting file 244 Area evaluation object shooting image 401 Digital camera 402 Camera ID
403 Captured image 404 Captured file 405 Area information 406 Tilt information 407 Correction information database 408 Evaluation object 409 Viewfinder image

Claims (14)

Area information acquisition means for acquiring area information relating to an area observed through a finder at the time of shooting;
Correction information storage means for storing the area information acquired by the area information acquisition means in a storage means in association with imaging apparatus identification information for identifying an imaging apparatus;
Correction information acquisition means for acquiring the region information from the storage means based on the imaging device identification information associated with the captured image;
Correction means for correcting the captured image using the region information acquired by the correction information acquisition means;
A camera-captured image processing apparatus.   The camera-captured image processing apparatus according to claim 1, wherein the region information acquisition unit acquires the region information from a captured image of an evaluation object used to acquire the region information. Further comprising tilt information acquisition means for acquiring tilt information related to the tilt of the region with respect to the captured image;
The correction information storage means stores the area information and the inclination information acquired by the inclination information acquisition means in association with the imaging device identification information in the storage means,
The correction information acquisition unit acquires the area information and the inclination information from the storage unit based on the imaging device identification information associated with the captured image.
3. The camera-captured image processing apparatus according to claim 1, wherein the correction unit corrects the captured image using the region information acquired by the correction information acquisition unit and the tilt information. 4. .   The camera-captured image processing apparatus according to claim 3, wherein the tilt information acquisition unit acquires the tilt information from a captured image of an evaluation object used to acquire the tilt information.   5. The camera photographing according to claim 1, further comprising correction information predicting means for predicting the area information related to the photographed image based on the date and time information when the photographed image is photographed. Image processing device.   6. The camera photographed image processing apparatus according to claim 5, wherein the correction information predicting unit predicts the area information and the tilt information related to the photographed image based on the date and time information. A camera-captured image processing method in a camera-captured image processing apparatus,
An area information acquisition step for acquiring area information relating to an area observed through a finder at the time of shooting;
A correction information storage step for storing the area information acquired in the area information acquisition step in association with imaging apparatus identification information for identifying the imaging apparatus in a storage unit;
A correction information acquisition step for acquiring the region information from the storage unit based on the imaging device identification information associated with the captured image;
A correction step for correcting the captured image using the region information acquired in the correction information acquisition step;
A camera-captured image processing method.   The camera area image acquisition method according to claim 7, wherein in the area information acquisition step, the area information is acquired from a captured image of an evaluation object used to acquire the area information. A tilt information acquisition step of acquiring tilt information related to the tilt of the region with respect to the captured image;
In the correction information storing step, the area information and the tilt information acquired in the tilt information acquiring step are stored in a storage unit in association with the imaging device identification information,
In the correction information acquisition step, the area information and the inclination information are acquired from the storage unit based on the imaging device identification information associated with the captured image.
9. The camera-captured image processing according to claim 7 or 8, wherein, in the correction step, the captured image is corrected using the region information acquired in the correction information acquisition step and the tilt information. Method.   The camera-captured image processing method according to claim 9, wherein in the tilt information acquisition step, the tilt information is acquired from a captured image of an evaluation object used to acquire the tilt information.   The camera photographing according to any one of claims 7 to 10, further comprising a correction information prediction step of predicting the area information related to the photographed image based on date and time information when the photographed image is photographed. Image processing method.   The camera-captured image processing method according to claim 11, wherein in the correction information prediction step, the region information and the tilt information related to the captured image are predicted based on the date and time information.   A camera-captured image processing program that causes a computer to execute the camera-captured image processing method according to any one of claims 7 to 12.   A computer-readable storage medium storing the camera-captured image processing program according to claim 13.

Images