JP2008209306A - Camera - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To calculate a distance to a subject in an actual space, and a distance between each subject. <P>SOLUTION: A distance calculation part 104c reads a photographed image from an image acquisition means 104a, recognizes a discrimination label included in the photographed image, and calculates a distance of the recognized discrimination label from a camera in the actual space, and a distance between each discrimination label in the actual space as distance information, when a plurality of discrimination labels are recognized by a recognition means. <P>COPYRIGHT: (C)2008,JPO&INPIT

Description

  The present invention relates to a camera that captures a subject image and acquires an image.

  The following imaging devices are known. This imaging apparatus uses a so-called contrast detection method to detect the position of the focus lens where the contrast is maximized from the image information input to the CCD. Then, the distance to the subject is calculated by estimating the distance to the in-focus position based on the detected position of the focus lens (for example, Patent Document 1).

JP-A-7-143384

  However, when the distance to the subject is calculated by a method using a conventional imaging device, the lens has a depth of field, so an error may occur between the calculated distance and the actual distance due to differences in aperture diameter and magnification. There was sex.

The camera according to the present invention captures an image of a subject, acquires an image, recognizes an identification mark included in the acquired captured image, and recognizes the identification mark from the camera in real space, and a plurality of recognition means. When the identification mark is recognized, the distance between the identification marks in the real space is calculated as distance information.
In the present invention, the identification mark has a predetermined pattern drawn in an area of a predetermined size, and the identification mark included in the captured image is detected by detecting the pattern drawn on the identification mark from the captured image. Is preferably recognized.
Further, the distance from the camera to the identification mark in the real space is calculated based on the size of the area occupied by the identification mark in the captured image, and the triangle is based on the calculated distance from the camera to the identification mark in the real space. Surveying may be performed to calculate the distance between the identification marks in the real space.
Also, based on an instruction from the user, the camera mode is set to a mode for calculating distance information, and processing is executed when the camera mode is set to a mode for calculating distance information. You may make it do.
Further, when the recognized identification mark is arranged so that the vertical size and horizontal size of the predetermined range can be specified, the area of the predetermined range is calculated based on the vertical size and horizontal size and included in the distance information You may do it.
Further, the calculated distance information may be displayed on the display device together with the photographed image, and the calculated distance information may be associated with the photographed image and recorded on a recording medium.

  According to the present invention, the distance to the subject can be calculated with high accuracy.

  FIG. 1 is a block diagram illustrating a configuration of an embodiment of a camera according to the present embodiment. The camera 100 includes an operation member 101, a lens 102, an image sensor 103, a control device 104, a memory 105, a memory card slot 106, and a monitor 107. The operation member 101 includes various input members operated by the user, such as a power button, a release switch, a zoom button, a cross key, a determination button, a playback button, and a delete button.

  The lens 102 is composed of a plurality of optical lens groups, but is represented by a single lens in FIG. The image sensor 103 is, for example, a CCD or a CMOS, and captures a subject image formed by the lens 102 to acquire an image. The acquired image data (image data) is output to the control device 104. The control device 104 outputs and records the input image data to the memory 105, and performs various image processing on the image data.

  The memory 105 is, for example, a flash memory, and is used as a buffer memory for temporarily recording an image captured by the image sensor 103 and an image file read via a memory card slot 106 described later. In addition, various programs for operating the camera 100 are recorded. The memory card slot 106 is a slot for inserting a memory card as a recording medium for recording images, and can write data into the memory card and read data from the memory card.

  The monitor 107 is a liquid crystal monitor (rear monitor) mounted on the back of the digital camera 100 and displays an image captured by the image sensor 103 and an image read from a memory card. A setting menu for setting the camera 100 is also displayed.

  The control device 104 includes a CPU, a memory, and other peripheral circuits, and functionally includes an image acquisition unit 104a, a display control unit 104b, a distance calculation unit 104c, and a recording control unit 104d. Note that the processing by the elements 104 a to 104 d is executed by the control device 104 reading a program from the memory 105 and starting it. Hereinafter, the process by each element of 104a-104d is demonstrated.

  The image acquisition unit 104 a acquires image data input from the image sensor 103 when the power button included in the operation member 101 is pressed by the user and the mode of the camera 100 is set to the shooting mode. The display control unit 104b outputs the image acquired by the image acquisition unit 104a to the monitor 107 and displays it. The image acquisition unit 104 a acquires image data input in time series from the image sensor 103, and the display control unit 104 b outputs the latest image acquired by the image acquisition unit 104 a to the monitor 107. As a result, a so-called through image is displayed on the monitor 107.

  The camera 100 according to the present embodiment has a distance information display / recording mode as a mode of the camera 100. When the user selects the mode, the distance calculation unit 104c acquires the image acquired by the image acquisition unit 104a. The distance from the camera 100 to the subject included in the (captured image) is calculated. Further, when a plurality of subjects are included in the captured image, the distance in the real space between the subjects is calculated. Then, the display control unit 104 b displays the distance information calculated in this way on the through image displayed on the monitor 107. Further, the recording control unit 104d records the calculated distance information on the memory card inserted in the memory card slot 106 in association with the image. Specifically, each element of 104b to 104c performs processing as follows. In the processing described below, it is assumed that the user performs shooting with the camera 100 held horizontally with respect to the ground.

  The distance calculation unit 104c reads the image data acquired by the image acquisition unit 104a, identifies the subject included in the image, includes the distance from the camera 100 in the real space, and a plurality of subjects in the captured image. If there is a plurality of subjects, the distance in the real space between the subjects is calculated. In the present embodiment, an identification mark representing a predetermined pattern (pattern) that can be identified by the distance calculation unit 104c is added in advance to a subject for which distance information is to be calculated. Then, the distance calculation unit 104c identifies the subject included in the captured image by extracting the identification mark from the captured image.

  For example, an identification mark representing a pattern as shown in FIG. 2 is added in advance to each subject. In the case where the target subject is a person, this identification mark is added to clothes, etc., and a captured image obtained by photographing this person is analyzed, and from the camera 100 to the person wearing the identification mark. The distance and the distance between a plurality of persons wearing the identification mark are calculated. This identification mark is composed of two colors, color A, for example, red, and color B, for example, white. The size of the identification mark is a predetermined size that does not get in the way even if a person wears it, for example, 5 cm wide, vertically The size is about 10 cm. The shape, color scheme, and size of the sign are not limited to the example shown in FIG.

  In the camera 100, in order to recognize the identification mark added to the subject from within the photographed image, the identification sign shown in FIG. 2 is photographed in advance and the image is recorded in the memory 105 as a pattern image. Then, the distance calculation unit 104c performs template matching processing using the pattern image as a template image in the captured image, and recognizes an identification mark included in the captured image. Note that the template matching process using the template image is a known process and will not be described.

  When the distance calculation unit 104c recognizes the identification mark included in the captured image, the display control unit 104b displays a frame (recognition frame) 2a indicating the recognition range of the identification mark on the monitor 107 as shown in FIG. indicate. As a result, the user can confirm the recognition result of the identification mark on the through image displayed on the monitor 107.

  The distance calculation unit 104c measures the size of the identification mark recognized in the captured image, that is, the size of the area occupied by the identification mark in the captured image. At this time, when a plurality of identification signs can be recognized from the captured image, the sizes of all the identification signs are measured. Note that the identification marks themselves worn by the person as the subject are all the same size, but the closer the distance between the camera 100 and the person is, the larger the size of the identification mark in the captured image is. The greater the distance between the person and the person, the smaller the size of the identification mark in the captured image.

  For example, as shown in FIG. 3A, the subjects (persons) 3a and 3b wearing the identification signs are at positions where the distance from the camera 100 to the subject 3a is equal to the distance from the camera 100 to the subject 3b. In the photographed images, the recognition results of the identification signs worn by the subjects 3a and 3b are equal in size. That is, the through image displayed on the monitor 107 is as shown in FIG. 3B. The recognition result 3c of the identification mark worn by the subject 3a and the recognition of the identification mark worn by the subject 3b. The results 3d are equal in size.

  On the other hand, as shown in FIG. 4, when there are subjects 4a and 4b wearing identification signs, the subject 4b is located closer to the camera 100 than the subject 4a. In the captured image, the identification mark worn by the subject 4a is photographed smaller than the identification mark worn by the subject 4b. That is, the through image displayed on the monitor 107 is as shown in FIG. 4B, and the recognition result 4c of the identification mark worn by the subject 4a is the recognition of the identification mark worn by the subject 4b. The size is smaller than the result 4d.

  The distance calculation unit 104c takes into account that the size of the identification mark in the captured image changes in accordance with the distance from the camera 100 to the subject as described above, and the distance from the camera 100 to the identification mark in the real space. Is calculated. The distance calculated here corresponds to the distance from the camera 100 to the subject wearing the identification mark in real space. That is, the distance calculation unit 104c can calculate the distance 3e from the camera 100 to the person 3a as shown in FIG. Specifically, the process is as follows.

  The distance calculation unit 104c performs the template matching process described above and recognizes the identification mark included in the captured image, and then determines the vertical size (number of pixels) and horizontal size (number of pixels) of the recognized identification mark. Calculate as For example, in the example shown in FIG. 5, the size of the identification mark 5a is calculated assuming that the vertical size 5b is 6 pixels and the horizontal size 5c is 2 pixels. The distance calculation unit 104c calculates the distance from the camera 100 to the identification mark 5a based on the size of the identification mark in the captured image thus calculated. For example, taking into account information such as the calculated size of the identification mark in the captured image, the pixel size per pixel in the captured image acquired in advance, and the zoom magnification (imaging magnification) of the lens 102 at the time of shooting. The distance from the camera 100 to the identification mark 5a is calculated. Specifically, it is calculated as follows.

  First, the size (at least one of the length in the vertical direction and the length in the horizontal direction) of the identification mark in the photographed image when the identification mark existing at a position 1 m away from the camera 100 is photographed in advance is calculated. It is recorded in the memory 105. Then, the distance calculation unit 104c, based on the vertical size 5b of the identification mark 5a in the captured image calculated by the above-described processing, and the pixel size per pixel in the captured image, the vertical direction of the identification mark 5a in the captured image. The length of is calculated. Then, from the ratio of the vertical length of the identification mark in the photographed image when the identification sign existing at a position 1 m away from the camera 100 is photographed to the vertical length of the identification sign 5a in the photographed image, the camera The distance from 100 to the identification mark 5a is calculated.

  For example, when an identification sign existing at a position 1 m away from the camera 100 is photographed, the vertical size of the identification sign in the photographed image is 10 mm. At this time, if the length in the vertical direction of the identification mark 5a in the captured image is 5 mm, the distance from the camera 100 to the identification mark 5a is calculated as 2 m. Also, if the zoom magnification of the lens 102 at this time is 3, the distance from the camera 100 to the identification mark 5a is calculated as 6 m.

  Next, a method will be described in which the distance calculation unit 104c calculates the distance between each identification mark in the real space when a plurality of identification marks are recognized in the captured image. First, as shown in FIG. 3A, a method for calculating a distance 3h between the subjects 3a and 3b when the distance from the camera 100 to the subject 3a is equal to the distance from the camera 100 to the subject 3b. explain. In this case, as shown in FIG. 3B, the distance calculation unit 104c determines the length 3f from the center of the captured image to the recognition result 3c of the identification mark worn by the subject 3a, and the captured image. The length 3g from the center to the recognition result 3d of the identification mark worn by the subject 3b is calculated. Then, the total of the respective lengths (3f + 3g) is calculated as the distance between the subjects in the captured image.

  The length 3f and the length 3g may be the length from the center of the captured image to the outer frame of the recognition result of the identification mark, or may be the length from the center of the captured image to the center of the recognition result of the identification mark. Good. In the present embodiment, a case will be described in which the length from the center of the captured image to the outer frame of the recognition result of the identification mark is calculated as length 3f and length 3g.

  The distance calculation unit 104c, like when calculating the distance from the camera 100 to the identification mark, the distance between the subjects in the calculated captured image, the size per pixel in the previously acquired captured image, and the captured image Taking into account information such as the zoom magnification of the lens 102 at the time, the distance 3h between the subjects in the real space is calculated. For example, a case will be described in which, when two identification signs existing 1 m apart in real space are photographed, it is calculated in advance that the distance between subjects in the photographed image is 10 mm. In this case, if the distance (3f + 3g) between the subjects in the captured image is 5 mm, the distance calculation unit 104c calculates the distance 3h between the subjects in the real space as 2 m. In addition, if the zoom magnification of the lens 102 at this time is 3, the distance 3h between the subjects in the real space is calculated as 6 m.

  Next, as shown in FIG. 4A, a method for calculating the distance between the subjects 4a and 4b when the distance from the camera 100 to the subject 4a is different from the distance from the camera 100 to the subject 4b. explain. In this case, the distance calculation unit 104c performs the above-described processing to calculate the distance 4e from the camera 100 to the subject 4a and the distance 4f from the camera 100 to the subject 4b. Further, as shown in FIG. 4B, the length 4g from the center of the photographed image to the recognition result 4c of the identification mark worn by the subject 4a and the subject 4b from the center of the photographed image are worn. The length 4h until the recognition result 4d of the identification mark is calculated. Then, the total of the respective lengths (4g + 4h) is calculated as the distance between the subjects in the captured image, and the direction perpendicular to the optical axis in real space is calculated using the distance calculation method described above with reference to FIG. The distance 4i between the subjects is calculated.

  Further, the distance calculation unit 104c calculates a difference (4e-4f) between the already calculated distance 4e from the camera 100 to the subject 4a and the distance 4f from the camera 100 to the subject 4b, and the optical axis direction in the real space The distance 4j between the subjects is calculated. The distance calculation unit 104c uses a trigonometric function based on the calculated distance 4i between subjects in the direction perpendicular to the optical axis in real space and the distance 4j between subjects in the optical axis direction in real space. Calculation (triangulation) is performed to calculate the distance 4k between the subjects 4a and 4b.

  The display control unit 104b displays, on the through image output to the monitor 107, information on the distance to the subject in the real space calculated by the distance calculation unit 104c and the distance between the subjects as described above. Present to the person. As a result, the user can grasp information regarding the distance to the subject in the real space and the distance between the subjects.

  When the user presses a release switch included in the operation member 101, the image acquisition unit 104a acquires a subject image formed on the image sensor 103 at that time and acquires image data. Then, the recording control unit 104d compresses the image data acquired by the image acquisition unit 104a into a predetermined image format, for example, a JPEG format, generates an image file in a predetermined file format, for example, an Exif format, and generates a memory card slot 106. Output to the memory card. The Exif format image file includes an image data part for storing image data and an additional information part for storing additional information such as shooting conditions.

  In generating the Exif format image file, the recording control unit 104d stores the image data in the Jpeg format in the image data portion, and the distance calculation unit 104c calculates various additional information such as shooting conditions in the additional information portion. Information on each of the distance to the subject in the real space and the distance between the subjects is stored. As a result, the distance information can be recorded in association with the image data, and the user can use the distance information on the imported device after importing the image file into another device such as a personal computer. .

  FIG. 6 is a flowchart showing processing of the camera 100 in the present embodiment. The process shown in FIG. 6 is executed by the control device 104 as a program that is activated when the operation member 101 is operated by the user and the mode of the camera 100 is set to the above-described distance information display / recording mode.

  In step S10, the distance calculation unit 104c reads the image data acquired by the image acquisition unit 104a, and proceeds to step S20. In step S20, the distance calculation unit 104c performs the above-described pattern matching process on the read image data, and recognizes the identification mark included in the captured image. Then, it progresses to step S30 and it is judged whether the identification mark was recognized. If a negative determination is made, the distance calculation unit 104c reads the image data of the next frame and performs the same processing. On the other hand, when an affirmative determination is made, the process proceeds to step S40, and the display control unit 104b displays the frame (recognition frame) 2a indicating the recognition range of the identification mark on the through image as described above with reference to FIG. To do. Thereafter, the process proceeds to step S50.

  In step S50, the distance calculation unit 104c calculates the size of the identification mark in the captured image, and calculates the distance from the camera 100 to the identification mark based on the calculated size as described above. The distance to the subject in space is calculated. Thereafter, the process proceeds to step S60, and the distance calculation unit 104c determines whether there is one identification mark recognized in the captured image. If a positive determination is made, the process proceeds to step S90 described later. On the other hand, if a negative determination is made, the process proceeds to step S70.

  In step S70, it is determined whether or not the distance calculation processing to the subject has been completed for all the identification signs. If a negative determination is made, the process returns to step S50, and the process of step S50 is repeated until the processes for all the subjects are completed. On the other hand, if a positive determination is made, the process proceeds to step S80. In step S80, as described above with reference to FIGS. 3 and 4, the distance calculation unit 104c calculates the distance in the real space between the subjects, and proceeds to step S90.

  In step S90, the display control unit 104b displays the distance from the camera 100 to the subject and the distance between the subjects in the real space calculated by the distance calculation unit 104c, that is, the distance information on the through image, and proceeds to step S100. move on. In step S100, the image acquisition unit 104a determines whether or not the release switch included in the operation member 101 has been pressed by the user. If a negative determination is made, the process returns to step S10, the image data of the next frame is read, and the process is repeated. On the other hand, if a positive determination is made, the process proceeds to step S110.

  In step S110, the image acquisition unit 104a acquires the subject image formed on the image sensor 103 at that time, and acquires image data. Then, the recording control unit 104d compresses the image data acquired by the image acquisition unit 104a into a predetermined image format, for example, a JPEG format, and generates an image file in a predetermined file format, for example, an Exif format. At this time, the recording control unit 104d stores Jpeg format image data in the image data portion of the Exif format image file, and is calculated by the distance calculation unit 104c together with various additional information such as shooting conditions in the additional information unit. Record distance information. Then, the recording control unit 104d outputs the image file generated in this way to the memory card slot 106 and records it on the memory card, thereby recording the captured image and the distance information in association with each other. Thereafter, the process ends.

According to the present embodiment described above, the following operational effects can be obtained.
(1) The distance calculation unit 104c reads the captured image from the image acquisition unit 104a, recognizes the identification mark included in the captured image, and calculates the distance of the recognized identification mark from the camera in real space. did. Thus, by adding an identification mark to the subject, the distance to the subject in the real space can be measured. Further, when a plurality of identification signs are included in the captured image, the distance between the identification signs is calculated. As a result, the distance between the subjects in the real space can be measured.

(2) As shown in FIG. 2, an identification mark having a predetermined pattern drawn in an area of a predetermined size is used. This eliminates the need to use a transmission device for notifying the camera of the position as an identification mark, which is advantageous in terms of cost.

(3) The distance calculation unit 104c performs pattern matching processing on the captured image so as to recognize the identification mark in the captured image. Thus, a known pattern matching process may be used, and it becomes unnecessary to develop a new recognition process.

(4) The distance calculation unit 104c calculates the distance from the camera to the identification mark in real space, that is, the distance to the subject, based on the size of the identification mark included in the captured image. As a result, the identification mark having a predetermined size becomes larger in the captured image as the distance from the camera 100 is shorter, and conversely, the size in the captured image becomes smaller as the distance from the camera 100 is longer. In consideration of this, the distance can be calculated with high accuracy.

(5) The distance calculation unit 104c performs triangulation based on the calculated distance from the camera to the identification mark in the real space so as to calculate the distance between the identification marks in the real space, that is, the distance between the subjects. I made it. Thereby, the distance between the identification marks in the real space can be calculated with a simple calculation, and the processing load can be reduced.

(6) The distance calculation unit 104c performs processing when the mode of the camera 100 is set to the distance information display / recording mode by the user. Accordingly, the user can arbitrarily select whether or not to perform the distance information calculation process.

(7) The display control unit 104b displays the distance information calculated by the distance calculation unit 104c on the through image. Thereby, the user can grasp distance information regarding the subject included in the image on the through image.

(8) The recording control unit 104d records the distance information calculated by the distance calculation unit 104c in association with the captured image. That is, the distance information is stored in the additional information part of the Exif file. As a result, the user can use the distance information on the captured device after capturing the image file to another device such as a personal computer.

-Modification-
The camera according to the above-described embodiment can be modified as follows.
(1) In the above-described embodiment, it is assumed that the user performs shooting in a state where the camera 100 is held horizontally with respect to the ground. However, a sensor (tilt sensor) that detects the tilt of the camera 100 may be provided in the camera 100, and the distance information may be calculated in consideration of the tilt. That is, the distance calculation unit 104c may specify the magnitude of the tilt of the camera 100 at the time of image capture based on the output from the tilt sensor, and calculate the distance information in consideration of the magnitude of the tilt. . Thereby, the accuracy of distance calculation can be further increased.

(2) The distance information calculated by the processing of the above-described embodiment may be corrected in consideration of the aberration information of the lens 102. That is, the aberration information of the lens 102 is recorded in the memory 105, and the distance information calculated by the distance calculation unit 104c is corrected in consideration of the aberration information of the lens 102. For example, when the aberration of the lens 102 is large, the distortion toward the edge of the photographed image increases, so that correction may be performed so as to eliminate this distortion. Even when the aberration of the lens 102 is small, the distortion of the photographed image increases in the same manner as the photographing magnification increases. Therefore, correction may be performed in consideration of the photographing magnification along with the aberration information of the lens 102. Thereby, distance information with higher accuracy can be obtained.

(3) In the above-described embodiment, the example has been described in which the distance information is stored in the additional information portion of the Exif file so that the captured image and the distance information are recorded in association with each other. However, the captured image and the distance information may be recorded in association with each other by recording the file name of the image file and the distance information calculated for the image in a database.

(4) In the embodiment described above, the distance calculation unit 104c. An example has been described in which the distance to the subject is calculated by calculating the distance from the camera 100 to the identification mark in the real space, and the distance between the subjects is calculated by calculating the distance of each identification cover period. However, the distance calculation unit 104c. Based on the distance between the identification marks, the area of the object with the identification marks added to the end points may be calculated. That is, when the identification mark is arranged so that the vertical size and the horizontal size within a predetermined range can be specified, the area of the range may be calculated based on the vertical size and the horizontal size.

  For example, when the user wants to measure the area of the window in the room, identification marks are added to at least three corners so that the vertical size and horizontal size of the window frame can be calculated. For example, as shown in FIG. 7, three identification marks 7a to 7c are added. Then, by photographing the entire window frame using the camera 100, the distance calculation unit 104c causes the window frame to have a vertical size (distance between the identification marks 7a and 7b added to two vertical end points) and a horizontal size (horizontal). The distance between the identification marks 7a and 7c added to the two end points in the direction is calculated.

  Furthermore, the distance calculation unit 104c calculates the area of the entire window frame based on the calculated vertical size and horizontal size of the window frame. Thus, the area of the object to which the identification mark is added can be calculated by applying the invention of the above-described embodiment. When the area is calculated by the distance calculation unit 104c, the display control unit 104b also displays the area calculation result on the through image, and the recording control unit 104c records the area calculation result in association with the image. It is preferable.

  Note that the present invention is not limited to the configurations in the above-described embodiments as long as the characteristic functions of the present invention are not impaired.

It is a block diagram which shows the structure of one Embodiment of a camera. It is a figure which shows the specific example of an identification mark, and the recognition example of the identification mark by the distance calculation part 104c. It is a figure which shows the specific example in case the two to-be-photographed subjects who wear the identification mark exist in the position which becomes equidistance from a camera, respectively. It is a figure which shows the specific example in case the two to-be-photographed object which wears the identification label | marker exists in the position which becomes respectively different distance from a camera. It is a figure which shows the specific example of the magnitude | size calculation method of the identification label | marker in a picked-up image. FIG. 6 is a flowchart showing processing of the camera 100. It is a figure which shows the example of addition of the identification mark in the case of calculating the area of a target object.

Explanation of symbols

DESCRIPTION OF SYMBOLS 100 Camera, 101 Operation member, 102 Lens, 103 Image sensor, 104 Control apparatus, 104a Image acquisition part, 104b Display control part, 104c Distance calculation part, 104d Recording control part, 105 Memory, 106 Memory card slot, 107 Monitor

Claims (8)

Image acquisition means for acquiring an image by capturing a subject image;
A recognizing unit for recognizing an identification mark included in the captured image acquired by the image acquiring unit;
Distance information from the camera in the real space of the identification mark recognized by the recognition means, and distances between the identification signs in the real space when the recognition means recognizes a plurality of the identification marks. And a distance information calculating means for calculating as follows. The camera of claim 1,
The identification mark has a predetermined pattern drawn in an area of a predetermined size,
The said recognition means recognizes the said identification mark contained in the said picked-up image by detecting the said pattern drawn on the said identification mark from the said picked-up image. The camera according to claim 1 or 2,
The distance information calculation unit calculates a distance from the camera to the identification mark in real space based on a size of an area occupied by the identification mark in the captured image. The camera according to any one of claims 1 to 3,
The distance information calculation means performs triangulation based on the calculated distance from the camera to the identification mark in the real space, and calculates a distance between the identification marks in the real space. . In the camera according to any one of claims 1 to 4,
Based on an instruction from a user, the camera further comprises mode setting means for setting the camera mode to a mode for calculating the distance information,
The recognizing unit and the distance information calculating unit execute processing when the mode setting unit sets the mode of the camera to a mode for calculating the distance information. In the camera according to any one of claims 1 to 5,
When the identification mark recognized by the recognition means is arranged so that the vertical size and horizontal size within a predetermined range can be specified, the distance calculation means, based on the vertical size and the horizontal size, A camera characterized in that an area of a predetermined range is calculated and included in the distance information. In the camera according to any one of claims 1 to 6,
A camera further comprising display control means for displaying the distance information calculated by the distance information calculating means on a display device together with the captured image. In the camera according to any one of claims 1 to 7,
A camera, further comprising: a recording control unit that records the distance information calculated by the distance information calculating unit in a recording medium in association with the captured image.

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