JP2005346393A - Stereo image recognition device and its method - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To improve distance detection accuracy by using a stereo color image. <P>SOLUTION: R, G and B reference image signals from a reference camera 1 and R, G and B comparison image signals from a comparison camera 2 are given to an image matching degree computing part 15. The image matching degree computing part 15 finds a differential absolute value between a predetermined area of the reference image and that of the comparison image for each color image and combines the found differential absolute values together to find the matching degree. A distance information detection part 16 finds distance information from a parallax based on the found matching degree. As the matching degree is calculated by using the color image, distance detection accuracy can be improved. <P>COPYRIGHT: (C)2006,JPO&NCIPI

Description

  The present invention relates to a stereo image recognition apparatus using a color stereo camera.

  2. Description of the Related Art Conventionally, an apparatus that uses a plurality of cameras and recognizes a space three-dimensionally using a stereo image recognition technology has been developed. And this stereo image recognition technique is applied to vehicles, such as a car, and the obstacle detection apparatus which recognizes the front obstacle and the shape of a road is detected, detecting the distance to a solid object.

  In a stereo image recognition device, a method is generally used in which images captured by a plurality of cameras are compared, a matching image portion is searched, parallax on the images of the matching image portions is obtained, and distance information is calculated. is there.

  In such a stereo image recognition apparatus, a search (match search) of matching image portions in a plurality of videos is performed in units of small areas (blocks) having a predetermined number of pixels. That is, an image captured by one of a plurality of cameras is used as a reference image, an image captured by another camera is used as a comparison image, and a small region in the comparison image that matches the small region image of the reference image is selected. It asks. As the evaluation function of the degree of coincidence, the sum of absolute values of luminance differences of the corresponding pixels between the small areas of the reference image and the comparison image is used: SAD (Sum of Absolute Difference), and the small areas that give the smallest SAD are matched. Judged as a small area.

  Stereo image recognition by such a matching search (matching) method has been conventionally performed using a monochrome camera. However, with a monochrome camera, even if the subject is a different color, if the brightness is the same, it cannot be identified in the resulting image. Even if you try to obtain distance distribution information by stereo matching, mismatch (match search) Of incorrect answers). As a result, the accuracy and certainty of distance distribution information may deteriorate.

  If distance distribution information can be generated from the obtained image using a color camera, it is possible to prevent deterioration of accuracy and certainty of such distance distribution information. In addition, if a color camera is used, there is an advantage that various processes using color information can be performed in addition to the distance distribution information. Further, in recent years, color CCD elements are generally produced in larger quantities than monochrome CCD elements, and thus are often cheaper in cost.

As a stereo image recognition apparatus using such a color camera, there is an apparatus of Patent Document 1.
JP 2003-150936 A

  However, the apparatus disclosed in Patent Document 1 performs a matching calculation for each color image individually and fuses the parallaxes of the matching calculation results to obtain a unified parallax. That is, in order to obtain an accurate unified parallax from the parallax obtained for each color, an appropriate fusion process is required. For this reason, there are problems that the calculation time is increased and the accuracy of the unified parallax may be lowered depending on the setting of information necessary for the fusion processing.

  It is an object of the present invention to provide a stereo image recognition apparatus capable of detecting a distance with sufficient accuracy at high speed by directly calculating one parallax by a matching operation on color images from a plurality of color cameras. To do.

  The stereo image recognition apparatus according to the present invention provides a degree of coincidence between each region of the reference image for each predetermined region of the reference image between the reference image captured by a plurality of color cameras and one or more reference images. It is characterized by comprising: a degree-of-match calculation means for obtaining a degree of coincidence by performing calculations for each color component; and a distance information acquisition means for obtaining distance information from the parallax obtained from the calculation result of the degree-of-match calculation means To do.

  In the present invention, a standard image and one or more reference images are obtained by a plurality of color cameras. The degree of coincidence calculation means obtains the degree of coincidence by performing the degree of coincidence calculation with each region of the reference image for each color component for each predetermined region of the standard image and combining them. The distance information acquisition means obtains distance information from the parallax obtained from the calculation result of the coincidence degree calculation means.

  According to the present invention, it is possible to detect a distance at a high speed with sufficient accuracy by directly calculating one parallax by a matching operation on color images from a plurality of color cameras.

  Hereinafter, embodiments of the present invention will be described in detail with reference to the drawings. FIG. 1 is a block diagram showing a stereo image recognition apparatus according to the first embodiment of the present invention.

  This embodiment is an example in which a three-plate color camera is employed. In the present embodiment, an example in which two color cameras are used has been described, but the same configuration can be made even when three or more color cameras are used.

  In the stereo camera constituted by the reference camera 1 and the comparison camera 2, the cameras 1 and 2 are arranged on a camera stay (not shown) with a predetermined baseline length. The reference camera 1 and the comparison camera 2 are, for example, a three-plate color CCD camera. The reference camera 1 captures a reference image for stereo processing, and the other comparison camera 2 captures a reference image for stereo processing.

  The three-plate camera has an independent solid-state image sensor (for example, CCD) for each color. The cameras 1 and 2 divide an optical image of a subject into three primary colors such as red (R), green (G), and blue (B) by a prism, and photoelectrically convert the dispersed color lights by mutually independent solid-state image sensors. To do. Thereby, the cameras 1 and 2 can obtain image signals of R, G, and B color images from the respective solid-state imaging devices.

  The reference camera 1 outputs each R, G, B color image (hereinafter referred to as a reference image) of the imaged object to the A / D converters 3 to 5, and the comparison camera 2 outputs each of the imaged objects. R, G and B color images (hereinafter referred to as comparative images) are output to the A / D converters 6 to 8, respectively. The A / D converters 3 to 8 convert the input color images into digital signals and output them to the image memories 9 to 14, respectively. The image memories 9 to 14 are configured by, for example, a frame memory, and hold an input image signal for one screen.

  The image matching degree calculation unit 15 reads the R, G, B reference images and the R, G, B comparison images stored in the image memories 9 to 14 and performs matching calculation in units of a predetermined small area. FIG. 2 is an explanatory diagram for explaining the matching calculation in the image matching degree calculation unit 15. FIGS. 2A to 2F are an R reference image, a G reference image, a B reference image, an R comparison image, and a G comparison image, respectively. A comparative image or a B comparative image is shown. A11 to A44 and B11 to B44 in FIG. 2 indicate each pixel in the screen.

  The image coincidence degree calculation unit 15 applies the image subregions of the R, G, and B comparison images to the image subregions of the R, G, and B reference images (the thick line portions in FIGS. A matching search (matching) operation is performed while shifting the thick line portions in FIGS. 2D to 2F by one pixel in the stereo baseline direction. FIG. 2 shows an example in which, for example, a 2 × 2 pixel block is set as the small image area. The image coincidence calculation unit 15 first calculates the SAD between the reference image of each color and the comparison image for a predetermined small image area at the same position in the G, B, and R reference images. That is, the image matching degree calculation unit 15 calculates SAD between the image small area of the R reference image and the small area of the R comparison image. Similarly, the image coincidence calculation unit 15 also calculates SADs for the small regions of the G and B reference images with the small regions of the G and B comparison images, respectively. Then, the SADs for the small regions of the calculated R, G, and B reference images are summed to obtain the mismatch degree S.

  That is, the mismatch degree S is given by the following equation (1).

S = Σ (| An−Bn | R) + Σ (| An−Bn | G) + Σ (| An−Bn | B) (1)
In the equation (1), | An−Bn | R represents a luminance difference between each pixel in the reference image small area and each pixel at a corresponding position in the comparison image small area for the R image. Similarly, | An−Bn | G is for G image and B image, respectively.

  Further, the image coincidence calculation unit 15 repeats the calculation of SAD while shifting the R, G, B image small areas one pixel at a time in the base line direction (horizontal direction) of the stereo cameras 1, 2, and the above (1). The mismatch degree S of the formula is obtained. The image matching degree calculation unit 15 calculates the parallax from the position of the small area of the comparison image having the smallest mismatch degree S and the position of the reference image.

  The image matching degree calculation unit 15 outputs the parallax calculated for each small region of the reference image to the distance information detection unit 16. The distance information detection unit 16 calculates distance information for each small region in the reference image based on the input parallax information, and outputs the distance information to the distance information validity determination unit 20.

  On the other hand, the image signals stored in the image memories 9 and 12, the image memories 10 and 13 or the image memories 11 and 14 are also supplied to the luminance change detection units 17 to 19, respectively. The luminance change detection units 17 to 19 determine whether or not each pixel in the small image area of the input reference image corresponds to the edge portion of the image. That is, the luminance change detection units 17 to 19 obtain the luminance change amount with the adjacent pixels in the stereo baseline direction. When the obtained luminance change amount is equal to or greater than a predetermined value, the luminance change detection units 17 to 19 determine that the pixel is an edge portion of the image and output the edge validity determination result to the distance information validity determination unit 20. To do.

  The distance information validity determination unit 20 also receives information on the mismatch degree S for each small image area from the image match degree calculation unit 15. The distance information validity determination unit 20 includes a minimum value detection circuit (not shown) that detects the minimum value Hm of the mismatch degree S, a maximum value detection circuit (not shown) that determines the maximum value HM of the mismatch degree S, and the maximum value HM and the minimum Hm. And a calculation unit (not shown) for calculating the difference Hx.

  As described above, the inconsistency S is sequentially calculated while shifting the comparative image small area by one pixel with respect to one reference image small area. Therefore, every time the value of the mismatch degree S is output, the maximum value Hx and the minimum value Hm of the previous values are compared and updated, so that the mismatch in the small area is almost simultaneously with the output of the last mismatch degree S. The maximum value HM, the minimum value Hm, and the difference Hx of the degree S are obtained.

  The distance information validity determination unit 20 determines the validity / invalidity of the distance information calculated based on the minimum mismatch degree according to whether the following three check conditions are satisfied. If not satisfied, for example, “0” is output without adopting the distance information obtained by the distance information detection unit 16.

(1) Hm is less than or equal to a predetermined value (2) Hx is greater than or equal to a predetermined value (3) There is a pixel that is determined to be valid edge (1) and (2), the obtained minimum value Hm is fluctuated by noise In addition, the maximum value Hx can be checked to make it possible to detect a distance even for an object whose luminance changes gently, such as a curved surface. ing.

  Condition (3) is edge detection when the threshold value for edge validity determination is set to be relatively large. However, when the threshold value is set low, it is possible to cope with a case where the luminance changes gently. This condition is adopted based on the basic principle that distance detection cannot be performed in a portion where there is no change in luminance. Since the edge validity determination is performed for each pixel in the small area, only the pixels in which the distance is actually detected are adopted in the small area, and a natural result can be obtained by using the condition (3). Can be obtained.

  The distance information validity determination unit 20 determines that the distance information for the image small area coordinates of the corresponding reference image is valid when all of the above conditions (1) to (3) are satisfied.

Effective distance information from the distance information validity determining unit 20 is given to the microcomputer 21. In addition, the microcomputer 21 is also provided with a total of six color images of the reference image and the comparison image, distance information (distance image) corresponding to the reference image, edge validity determination result, and distance validity determination result. .

  Next, the operation of the embodiment configured as described above will be described with reference to FIG. FIG. 3 is a flowchart showing a distance information detection flow.

  The R, G, B reference image signals output from the reference camera 1 are respectively supplied to A / D converters 3 to 5, and the R, G, B comparison image signals output from the comparison camera 2 are A / D converted, respectively. Is provided to vessels 6-8. Each image signal is converted into a digital signal of a predetermined gradation by A / D converters 3 to 8. The digitized R, G, B reference image signals and R, G, B comparison image signals are stored in the image memories 9 to 14, respectively. The image coincidence degree calculation unit 15 reads out the image signals stored in the image memories 9 to 14 for each image small region, obtains the disagreement degree S according to the above equation (1), and obtains the image disparity of the comparative image that gives the minimum inconsistency degree The parallax is obtained for each small image area of the reference image according to the relationship with the position of the area (step S1). The image matching degree calculation unit 15 detects distance information for each image area based on the parallax for each image small area.

  The R, G, B reference image signals from the image memories 9 to 11 are given to the luminance change detection units 17 to 19, respectively. The luminance change detectors 17 to 19 obtain the luminance change amount of each pixel in the small image area in the R, G, B reference image, respectively (step S2). Further, the luminance change detection units 17 to 19 determine whether the edge is valid depending on whether the obtained luminance change amount of each pixel is equal to or greater than a predetermined value (step S3).

  The distance information validity determination unit 20 obtains the minimum value Hm of the mismatch degree S for each small image area in step S4. In step S5, the distance information validity determination unit 20 obtains a difference Hx between the maximum value and the minimum value of the mismatch degree for each small image area.

  The distance information validity determination unit 20 performs the determination of steps S6 to S8 in order to determine the validity of the distance information obtained for each image small region. That is, the distance information validity determination unit 20 determines whether one or more edge validity determination pixels exist for the small image area that is the determination target of the validity of the distance information in step S6. It is determined whether the minimum value Hm of the degree is smaller than a predetermined threshold value Hmth, and in step S8, it is determined whether the difference Hx of the mismatch degree is larger than the predetermined threshold value Hxth. If all the conditions of steps S6 to S8 are satisfied, it is determined in step S9 that the distance information obtained for the image subregion to be determined is valid. In this case, the microcomputer 21 outputs the distance information obtained for the determination target image small region and the validity determination result of the luminance change amount. For example, the microcomputer 21 can generate a distance image using the input distance information.

  If the distance information validity determination unit 20 does not satisfy any one of the steps S6 to S8, the distance information obtained for the determination target image small area is determined to be invalid in step S10. .

  Thus, in this embodiment, distance information with extremely high accuracy can be acquired by obtaining SAD based on a plurality of color signals obtained using a color camera. Compared to the case of using a monochrome camera, it is remarkably superior in terms of accuracy and certainty.

  FIG. 4 is a block diagram showing a second embodiment of the present invention. In FIG. 4, the same components as those of FIG.

  This embodiment is an example in which a single-plate color camera is employed. Although an example in which two color cameras are used has been described in the present embodiment, the same configuration is possible even when three or more color cameras are used.

  In the stereo camera constituted by the reference camera 31 and the comparison camera 32, the reference camera 31 and the comparison camera 32 are arranged on a camera stay (not shown) with a predetermined baseline length. The reference and comparison cameras 31 and 32 are, for example, single-plate color CCD cameras. The reference camera 31 captures a reference image for stereo processing, and the other comparison camera 32 captures a reference image for stereo processing.

  A single-plate camera has only one solid-state image sensor (for example, a CCD). The solid-state imaging devices of the cameras 31 and 32 have pixels (hereinafter referred to as subpixels) that are sensitive to R (red), G (green), and B (blue) colors, respectively. A pixel signal of red (red), G (green) or B (blue) is obtained.

  For example, the reference and comparison cameras 31 and 32 are configured such that a filter sensitive to R (red), G (green), or B (blue) color is arranged for each subpixel on the incident surface side of the solid-state imaging device. The By arranging the filters of each color in an appropriate arrangement corresponding to each subpixel, a color image can be obtained by constituting one pixel by a plurality of subpixels. For example, as the reference camera 31 and the comparison camera 32, those having a pixel array of the Bayer array are adopted. In the Bayer array, green is arranged in a checkered pattern, and red and blue are arranged in line order. That is, green exists in each line, red exists only in odd lines, and blue exists only in even lines. Thus, for example, one pixel capable of color expression is configured by vertical and horizontal 2 × 2 subpixels.

  The reference camera 31 outputs a color image of the captured object (hereinafter referred to as a reference color image) to the A / D converter 3, and the comparison camera 32 is a color image of the captured object (hereinafter referred to as a comparative color image). ) Is output to the A / D converter 6. The A / D converters 3 and 6 convert the input color images into digital signals, respectively, and then output them to the image memories 9 and 12. The image memories 9 and 2 are constituted by, for example, a frame memory, and hold an input image signal for one screen.

  The image matching degree calculation unit 35 reads the reference color image and the comparison color image stored in the image memories 9 and 12 and performs a matching calculation in units of a predetermined small area. FIG. 5 is an explanatory diagram for explaining the matching calculation in the image matching degree calculation unit 35, and FIGS. 5A and 5B respectively show a reference color image or a comparison color image. A11 to A44 and B11 to B44 in FIG. 5 indicate each pixel in the screen.

  Note that the subpixels indicated by A11 to A44 and B11 to B44 in FIG. 5 are configured by the following color arrangement.

Red A12, A14, A32, A34
B12, B14, B32, B34
Green A11, A13, A22, A24, A31, A33, A42, A44
B11, B13, B22, B24, B31, B33, B42, B44
Blue A21, A23, A41, A43
B21, B23, B41, B43
The image matching degree calculation unit 35 performs a matching search (matching) calculation while shifting the image small area of the comparative color image by the number of subpixels according to the color arrangement in the stereo baseline direction with respect to each image small area of the reference color image. Do. For example, in the case of a Bayer array, color representation is possible in units of 2 × 2 subpixels, so the image coincidence calculation unit 35 matches the image by shifting the small image area of the comparative color image by 2 subpixels in the horizontal direction. Perform a search (matching) operation.

  FIG. 5 shows an example in which, for example, a 2 × 2 subpixel block is set as the small image area. The image matching degree calculation unit 35 sets a predetermined image small area of the reference color image, and calculates SAD of the same color between the reference color image and the comparison color image. For example, when the small image areas of the reference color image and the comparative color image are indicated by the thick lines in FIG. 5, SAD is | A11−B11 |, | A12−B12 |, | A13−B13 | ,..., | A34-B34 |, | A44-B44 | Then, the SADs for the small regions of the calculated reference color image are summed to obtain the mismatch degree S.

  That is, the mismatch degree S is given by the following equation (2).

S = Σ (| An−Bn |) (2)
In the expression (2), | An−Bn | is a luminance difference between each subpixel of the reference color image small area and each subpixel at a corresponding position in the comparison color image small area. The absolute value of is shown.

  Further, the image matching degree calculation unit 35 repeatedly calculates the SAD while shifting the comparative color image small region by 2 subpixels in the base line direction (horizontal direction) of the reference camera 31 and the comparison camera 32 constituting the stereo camera. Then, the inconsistency S in the above equation (2) is obtained. The image coincidence calculation unit 35 calculates the parallax from the position of the small region of the comparative image having the smallest calculated disagreement S and the position of the reference image.

  The image matching degree calculation unit 35 outputs the parallax calculated for each small region of the reference image to the distance information detection unit 16. The distance information detection unit 16 calculates distance information for each small region in the reference image based on the input parallax information, and outputs the distance information to the distance information validity determination unit 20.

  On the other hand, the image signals accumulated in the image memories 9 and 12 are also supplied to the luminance change detection unit 17. The luminance change detection unit 17 obtains the luminance change amount with the subpixels adjacent in the stereo baseline direction, so that each subpixel of the small image area of the input reference color image becomes the edge portion of the image. It is determined whether it corresponds. When the obtained luminance change amount is equal to or greater than a predetermined value, the luminance change detection units to 17 determine that the subpixel is an edge portion of the image, and output the edge validity determination result to the distance information validity determination unit 20 To do.

  The distance information validity determination unit 20 also receives information on the degree of mismatch S for each small image area from the image matching level calculator 35. Similar to the first embodiment, the distance information validity determination unit 20 satisfies the above conditions (1) to (3), and the distance information with respect to the image small region coordinates of the corresponding reference color image. Is determined to be valid. Effective distance information from the distance information validity determining unit 20 is given to the microcomputer 21. The microcomputer 21 is also provided with a total of two color images of the reference color image and the comparison color image, distance information (distance image) corresponding to the reference image, an edge validity determination result, and a distance validity determination result. .

  Next, the operation of the embodiment configured as described above will be described with reference to FIG. FIG. 6 is a flowchart showing a distance information detection flow.

  The reference color image signal output from the reference camera 1 is supplied to the A / D converter 3, and the comparison color image signal output from the comparison camera 2 is supplied to the A / D converter 6. Each color image signal is converted into a digital signal of a predetermined gradation by A / D converters 3 and 6. The digitized reference color image signal and comparison color image signal are stored in the image memories 9 and 12, respectively. The image coincidence degree calculation unit 35 reads out the image signals stored in the image memories 9 and 12 for each image small area, obtains the disagreement degree S according to the above equation (1), and obtains the image disparity of the comparative image that gives the minimum inconsistency degree The parallax is obtained for each small image area of the reference image according to the relationship with the position of the area (step S1). The image matching degree calculation unit 35 detects distance information for each image area based on the parallax for each image small area.

  Further, the reference color image signals from the image memories 9 and 12 are respectively supplied to the luminance change detection unit 17. The luminance change detection unit 17 obtains the luminance change amount of each subpixel in the small image area in the reference color image (step S12). Further, the luminance change detection unit 17 performs edge validity determination depending on whether the calculated luminance change amount of each sub-pixel is equal to or greater than a predetermined value (step S13).

  The distance information validity determination unit 20 obtains the minimum value Hm of the mismatch degree S for each small image area in step S4. In step S5, the distance information validity determination unit 20 obtains a difference Hx between the maximum value and the minimum value of the mismatch degree for each small image area.

  The distance information validity determination unit 20 performs the determination of steps S6 to S8 in order to determine the validity of the distance information obtained for each image small region. That is, the distance information validity determination unit 20 determines whether or not one or more edge validity determination subpixels exist in the image small area that is the determination target of the validity of the distance information in step S6, and in step S7, It is determined whether or not the minimum value Hm of the mismatch degree is smaller than a predetermined threshold value Hmth. In step S8, it is determined whether or not the difference Hx of the mismatch level is larger than the predetermined threshold value Hxth. If all the conditions in steps S6 to S8 are satisfied, it is determined in step S19 that the distance information obtained for the image subregion to be determined is valid. In this case, the microcomputer 21 outputs the distance information obtained for the determination target image small region and the validity determination result of the luminance change amount. For example, the microcomputer 21 can generate a distance image using the input distance information.

  If the distance information validity determination unit 20 does not satisfy any one of the conditions of steps S6 to S8, it determines that the distance information obtained for the image small area to be determined is invalid in step S20. .

  Thus, in this embodiment, distance information with extremely high accuracy can be obtained by obtaining SAD based on a plurality of color signals obtained using a single-plate color camera. Compared to the case of using a monochrome camera, it is remarkably superior in terms of accuracy and certainty.

1 is a block diagram showing a stereo image recognition apparatus according to a first embodiment of the present invention. Explanatory drawing for demonstrating the matching calculation in the image matching degree calculating part 15. FIG. The flowchart for demonstrating operation | movement of 1st Embodiment. The block diagram which shows the 2nd Embodiment of this invention. Explanatory drawing for demonstrating the matching calculation in the image matching degree calculating part 35. FIG. The flowchart for demonstrating the operation | movement of the 2nd Embodiment of this invention.

Explanation of symbols

DESCRIPTION OF SYMBOLS 1 ... Reference camera, 2 ... Comparison camera, 15 ... Image coincidence calculation part, 16 ... Distance information detection part, 17-19 ... Luminance change detection part, 20 ... Distance information validity determination part
Agent Patent Attorney Susumu Ito

Claims (9)

A standard image captured by a plurality of color cameras and one or more reference images are combined for each color component by calculating the degree of coincidence with each region of the reference image for each predetermined region of the standard image. A degree-of-match calculation means for obtaining a degree of match
A stereo image recognition apparatus comprising: distance information acquisition means for obtaining distance information from parallax obtained from the calculation result of the coincidence degree calculation means. The plurality of color cameras are multi-plate color cameras,
The coincidence calculating means calculates the coincidence with each area of the reference image for each predetermined area of the standard image for each color image obtained by the multi-plate color camera, and synthesizes the calculation results. The stereo image recognition apparatus according to claim 1, wherein the degree of coincidence is obtained.   The coincidence degree calculating means obtains the sum of absolute differences for each color component between the base image and the reference image, and obtains the degree of coincidence by the sum of the obtained sum of absolute difference values. Item 3. The stereo image recognition device according to Item 1. The plurality of color cameras are single-plate color cameras, and obtain an image constituting one pixel capable of color expression by a plurality of sub-pixels,
The degree of coincidence is obtained by calculating the degree of coincidence for each predetermined area of the reference image while shifting each area of the reference image in units of one pixel. 1. The stereo image recognition apparatus according to 1.   The stereo image recognition apparatus according to claim 4, wherein the coincidence calculation unit obtains the coincidence by a sum of absolute differences for each color component between the base image and the reference image.   5. The stereo image recognition apparatus according to claim 1, further comprising distance information validity determination means for determining whether the distance information obtained by the distance information acquisition means is valid or invalid.   7. The distance information validity determining unit determines whether the distance information is valid or invalid based on a total number of edge validity determination results based on a luminance change in a predetermined area of the reference image. Stereo image recognition device.   The stereo image recognition apparatus according to claim 7, wherein the distance information validity determination unit performs the edge validity determination based on a luminance change between the same color components in a predetermined region of the reference image. A standard image captured by a plurality of color cameras and one or more reference images are combined for each color component by calculating the degree of coincidence with each region of the reference image for each predetermined region of the standard image. The degree-of-match calculation procedure for obtaining the degree of match
A stereo image recognition method comprising: a distance information acquisition procedure for obtaining distance information from parallax obtained by a calculation result of the coincidence calculation means.

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