Abstract:
The present invention realizes an object extraction device, an object extraction method, and a recorded medium that stores an object extraction program that can obtain an object extraction image matching an object, and reduce the amount of calculating to find the object extraction image. An outline extraction unit  4  extracts the outline of an object from an object extraction image P 3  found by a first object extraction calculating unit  3 . A first incorrect outline extraction unit does not include the pixels of the edge part found by the edge pixel calculating unit  5 , and treats as an incorrect outline a straight line segment that has a length exceeding a specific threshold value. A second object extraction calculating unit  8  finds the re-extracted image P 4  of the recalculated region by carrying out an object extraction calculation of the recalculated region found by the recalculated region determining unit  7  using the second calculation parameter. The image reconstructing unit  9  reconstructs an object extraction image P 5  by exchanging the image of the subject region and the re-extracted image P 4  in the recalculated region of the object extraction image P 3.

Description:
BACKGROUND OF THE INVENTION  
         [0001]    1. Field of the Invention  
           [0002]    The present invention relates to image processing, and more particularly to an advantageous object extraction device, object extraction method, and recording media storing an object extraction program used in the extraction of an object image.  
           [0003]    2. Description of the Related Art  
           [0004]    The object extraction methods described below are known conventional methods for obtaining an object extraction image by extraction only an object from a plurality of photographed images in which the same object is photographed along with a background.  
           [0005]    First, when the photograph image (referred to hereinafter as the “central image”) of the object that will serve as the object extraction image and the photograph images (referred to hereinafter as the “reference images”) of the object having parallax with respect to the central image are output, the central image is partitioned into bands in the horizontal direction, and the image partitioned into bands is further partitioned into segments that are enclosed by the edge points of the object. Next, the location of the corresponding points that correspond to the end point of each of the segments are searched for on an epipolar line, and as a result the depth is estimated based on the obtained parallax. Next, based on this estimated depth information, each of the segments of the central image is partitioned into foreground segments and background segments. Next, the set of partitioned segments in the foreground is obtained as the object extraction image. However, in the case that one part of this image is lost when this object retraction image is formed, if there is an effective segment in a range sufficiently close when viewed vertically, the lost segment is interpolated by pixels in the horizontal and vertical directions.  
           [0006]    Moreover, in this object extraction method, the calculation parameters such as the number of pixel spans during each of the calculations and the brightness difference used for edge identification is set in advance.  
           [0007]    Furthermore, in the case that a background part is extracted as the object, the set of segments grouped in the background segments may serve as the object extraction image.  
           [0008]    [0008]FIG. 15 is a block diagram showing an example of the structure of a conventional object extraction device. In this figure, reference numeral  1  is the central camera that photographs the central image P 1 , reference numerals  2 - 1  and  2 - 2  are reference cameras that photograph reference images P 2 - 1  and  2 - 2 , and reference numeral  3  is an object extraction calculating unit that finds the object extraction image P 3  by carrying out an extraction calculation of the object image on the input central image P 1 , and reference images P  2 - 1  and  2 - 2  according to the above-described object extraction method by using a calculation parameter set in advance. In addition, this object extraction calculating unit  3  is a conventional object extraction device.  
           [0009]    Moreover, the conventional object extraction device is realized by large-scale computers, etc., such as a work station into which an object extraction program that uses the above-described convention extraction method, for example, is input.  
           [0010]    However, in the above-described object extraction device, in the case that a part of the object extraction image is lost, in the interpolation processing using pixels in the horizontal and vertical directions, there is the problem that the locations that should be background image are mistaken for a foreground segment and made a part of the object extraction image, or an object extraction image expanded beyond the actual object is formed, a location that should be a foreground object extraction image is mistakenly made a part of the background image, and an object extraction image having a blank part is formed.  
           [0011]    In addition, when the object extraction calculation is carried out by changing to a more sophisticated calculation parameter in order to resolve the above-described problems, the amount of the calculating increases, and more time is consumed to find the object extraction image. As a result a large-sale computer is necessary for realizing the conventional object extraction device.  
         SUMMARY OF THE INVENTION  
         [0012]    In consideration of the above-described problems, an object of the present invention is to provide an image extraction device, an object extraction method, and a recording media that stores an object extraction program wherein an object extraction image that better matches the object can be obtained and the amount of computing for finding the object extraction image can be decreased.  
           [0013]    In order to resolve the above-described problems, a first aspect of the present invention provides a first object extraction calculating device that finds the object extraction image by carrying out object extraction calculations for extraction an object by using a predetermined first calculation parameter on a plurality of photographed images having a parallax with respect to the same object, and an incorrect outline extraction processing device that extracts an outline from an object extraction image found by the first object extraction calculating device and extracts as an incorrect outline a straight line segment having a length exceeding a predetermined threshold value within the extracted outline.  
           [0014]    In a second aspect of the invention disclosed in the first aspect, the incorrect outline extraction processing device provides an outline extraction device that extracts an outline from an object extraction image found by the object extraction calculating device, an edge pixel calculating device that finds the edge part of the object from a predetermined photographed image from among the plurality of photographed images, and an incorrect outline extraction device that extracts as an incorrect outline the straight line segment within the outline extracted by the outline extraction device that is the outline part that does not include the edge part found by the edge pixel calculating device and has a length exceeding a predetermined value.  
           [0015]    In a third aspect of the invention disclosed in the first aspect, the incorrect outline processing device provides an outline extraction device that extracts an outline from an object extraction image found by the object extraction calculating device, an edge pixel calculating device that finds the edge part of the object from a specified photographed image from among a plurality of photographed images, and an incorrect outline extraction device that extracts as an incorrect outline the straight line segment that is the outline part within the outline extracted by the outline extraction device that does not include the edge part found by the edge pixel calculating device and has a length exceeding a predetermined value.  
           [0016]    In a fourth aspect of the invention disclosed in the first aspect, the incorrect outline processing device provides an outline extraction device that extracts an outline from an object extraction image found by the object extraction calculating device, an edge pixel calculating device that finds the edge part of the object from a specified photographed image from among a plurality of photographed images, and an incorrect outline extraction device that extracts as an incorrect outline the straight line segment that is the outline part within the outline extracted by the outline extraction device that does not include the edge part found by the edge pixel calculating device and has a length exceeding a predetermined first threshold value and the straight line segment that is the outline part that intersects the edge part found by the edge pixel calculating device and has a length exceeding a predetermined second threshold value.  
           [0017]    In a fifth aspect of the invention disclosed in the first aspect, the straight line segment is a straight line segment along the scanning direction of a predetermined photographed image.  
           [0018]    A sixth aspect of the invention discloses in the first aspect provides a recalculated region determining device that determines as the recalculated region the partial region that includes the incorrect outline extracted by the incorrect outline extraction processing device within the image region of a predetermined photographed image, and a second object extraction calculating device that finds the re-extracted image that is the object extraction image of the recalculated region by carrying out object extraction calculation in order to eliminate the incorrect outline of the recalculated region by using a second calculation parameter that is different from the first calculation parameter on a plurality of photographed images.  
           [0019]    In a seventh aspect of the invention, the recalculated region in the sixth aspect of the invention is determined as the rectangular region having a predetermined range that includes the incorrect outline.  
           [0020]    In an eighth aspect of the invention, the recalculated region determining-device in the sixth aspect of the invention re-determines as the recalculated region the region that encompasses all of the overlapping recalculated regions instead of a plurality of overlapping recalculated regions.  
           [0021]    In a ninth aspect of the invention, the recalculated region in the eighth aspect of the invention that has been re-determined is determined as the rectangular region having the smallest area.  
           [0022]    A tenth aspect of the invention disclosed in the sixth aspect provides an image reconstructing device that reconstructs the object extraction image based on the object extraction image found by the first object extraction calculating device and the re-extracted image found by the second object extraction calculating device.  
           [0023]    In an eleventh aspect of the invention, the image reconstructing device in the tenth aspect reconstructs the object extraction image by exchanging the image in the region corresponding to the recalculated region within the image region of the object extraction image found by the first object extraction calculating device and the re-extracted image found by the second object extraction calculating device.  
           [0024]    In a twelfth aspect of the invention, the second calculation parameter in the eleventh aspect is a calculation parameter that is used to carry out an object extraction calculation that is more sophisticated than the first calculation parameter.  
           [0025]    In a thirteenth aspect of the invention, the object extraction device in the eleventh aspect is realized by a small-scale computer.  
           [0026]    In the fourteenth aspect of the invention, the plurality of photographed images in the first aspect are photographed by a plurality of cameras that photograph the same object from different directions.  
           [0027]    A fifteenth aspect of the invention provides an object extraction calculating device that repeats the object extraction calculation for eliminating an incorrect outline from a predetermined partial region on the plurality of photographed images having parallax with respect to the same object using a predetermined calculation parameter that is different from the initial calculation parameter, and finds the re-extracted image, which is the object extraction image of this partial region.  
           [0028]    In a sixteenth aspect of the invention, the partial region in the fifteenth aspect of the invention is a region that includes the outline part determined to be an incorrect outline in the image region of the object extraction image found by carrying out the object extraction calculation for extraction the object using the initial calculation parameter.  
           [0029]    A seventeenth aspect of the invention in the fifteenth aspect provides an image reconstructing device that reconstructs the object extraction image by exchanging the image of the partial region in the object extraction image found by the object extraction calculation using the initial calculation parameter and the re-extracted image.  
           [0030]    An eighteenth aspect of the invention provides a first process that finds an object extraction image by carrying out an object extraction calculation for extraction the object using a predetermined first calculation parameter on the plurality of photographed images that have parallax with respect to the same object, a second process that extracts the outline from the object extraction image found by the first process, a third process that extracts as an incorrect outline the straight line segment within the outline extracted by the second process that has a length exceeding a predetermined threshold value, a fourth process that determines as the recalculated region the partial region that includes the incorrect outline extracted by the third process within the image region of the predetermined photographed image, a fifth process that finds the re-extracted image, which is the object extraction image in the recalculated region, by carrying out object extraction calculation for eliminating the incorrect outline in the recalculated region using a predetermined second calculation parameter that is different from the first calculation parameter on the plurality of photographed images, and a sixth process that reconstructs the object extraction image based on the object extraction image found by the first process and the re-extracted image found by the fifth process.  
           [0031]    In a nineteenth aspect of the invention, the third process in the eighteenth aspect finds the edge part of the object from the predetermined photographed image from among a plurality of photographed images and extracts as an incorrect outline either or both a straight line segment within the outline extracted by the second process that is the outline part not included in the found edge part and has a length exceeding a predetermined first threshold value or a straight line segment that is the outline part that intersects the found edge part and has a length exceeding a predetermined second threshold value.  
           [0032]    In a twentieth aspect of the invention, a computer executes a first process that finds an object extraction image by carrying out object extraction calculation for extraction the object using a predetermined first calculation parameter on a plurality of photographed images having parallax with respect to the same object, a second process that extracts an outline from the object extraction image found by the first process, and a third process that extracts as an incorrect outline the straight line segment within the outline extracted by the second process that has a length exceeding a predetermined threshold value.  
           [0033]    In a twenty-first aspect of the invention, the object extraction program in the twentieth aspect of the invention executes on a computer a fourth process that determines as the recalculated region the partial region that includes the incorrect outline extracted by the third process within an image region of the predetermined photographed image, a fifth process that finds the re-extracted image, which is the object extraction image in the recalculated region, by carrying out object extraction calculation for eliminating the incorrect outline in the recalculated region using a predetermined second calculation parameter that is different from the first calculation parameter on the plurality of photographed images, and a sixth process that reconstructs the object extraction image based on the object extraction image found by the first process and the re-extracted image found by the fifth process.  
           [0034]    In a twenty-second aspect of the invention, the object extraction program in the twentieth aspect of the invention further executes on a computer a process that, in the third process, finds the edge part of the object from a predetermined photographed image from among a plurality of photographed images, and a process that extracts as incorrect outlines either or both of a straight line segment that is the outline part within the outline extracted by the second process not included in the found edge part and that has a length exceeding a predetermined first threshold value and a straight line segment that is the outline part that intersects the found edge part and has a length exceeding a predetermined second threshold value.  
           [0035]    A twenty-third aspect of the invention executes on a computer a process that finds the re-extracted image, which is the object extracted image of the partial region, by repeating the object extraction calculation for eliminating incorrect outlines within a predetermined partial region on the plurality of photographed images having parallax with respect to the same object using a predetermined calculation parameter that is different from the initial calculation parameter.  
           [0036]    In a twenty-fourth aspect of the invention, the object extraction program in the twenty-third aspect of the invention further executes on a computer a process that determines in a partial region the region that includes the determined outline part as an incorrect outline in an image region of the object extraction image found by carrying out the object extraction calculation for extraction the object using a initial calculation parameter.  
           [0037]    In a twenty-fifth aspect of the invention, the object extraction program in the twenty-third aspect of the invention further executes on a computer a process that reconstructs the object extraction image by exchanging the image of the partial region in the object extraction image found by the object extraction calculation using the initial calculation parameter and the re-extracted image.  
       
    
    
     BRIEF DESCRIPTION OF THE DRAWINGS  
       [0038]    [0038]FIG. 1 is a block drawing showing the structure of the object extraction apparatus  101  according to the first embodiment of the present invention.  
         [0039]    [0039]FIG. 2 is a block drawing showing the structure of the object extraction device  102  according to the first embodiment of the present invention.  
         [0040]    [0040]FIG. 3 is a block drawing showing the structure of the object extraction device  103  according to the first embodiment of the present invention.  
         [0041]    [0041]FIG. 4 is a first drawing for explaining the operation of the object extraction device  101  shown in FIG. 1.  
         [0042]    [0042]FIG. 5 is a second drawing for explaining the operation of the object extraction device  101  shown in FIG. 1.  
         [0043]    [0043]FIG. 6 is a third drawing for explaining the operation of the object extraction device  101  shown in FIG. 1.  
         [0044]    [0044]FIG. 7 is a fourth drawing for explaining the operation of the object extraction device  101  shown in FIG. 1.  
         [0045]    [0045]FIG. 8 is a fifth drawing for explaining the operation of the object extraction device  101  shown in FIG. 1.  
         [0046]    [0046]FIG. 9 is a first drawing for explaining the operation of the object extraction device  102  shown in FIG. 2.  
         [0047]    [0047]FIG. 10 is a second drawing for explaining the operation of the object extraction device  102  shown in FIG. 2.  
         [0048]    [0048]FIG. 11 is a third drawing for explaining the operation of the object extraction device  102  shown in FIG. 2.  
         [0049]    [0049]FIG. 12 is a fourth drawing for explaining the operation of the object extraction device  102  shown in FIG. 2.  
         [0050]    [0050]FIG. 13 is a fifth drawing for explaining the operation of the object extraction device  102  shown in FIG. 2.  
         [0051]    [0051]FIG. 14 is a sixth drawing for explaining the operation of the object extraction device  102  shown in FIG. 2.  
         [0052]    [0052]FIG. 15 is a block drawing showing the structure of a conventional object extraction device.  
     
    
     DETAILED DESCRIPTION OF THE INVENTION  
       [0053]    The embodiments of the present invention will be explained referring to the figures.  
         [0054]    [0054]FIG. 1 is a block diagram showing the structure of the object extraction device  101  according to a first embodiment of the invention. In the figures, reference numeral  1  is a center camera that photographs a photographed image P 1  (hereinafter, referred to as a “center image”) of an object that will serve as the object extraction image, reference numerals  2 - 1  and  2 - 2  are reference cameras that photographs from different directions the same object that is photographed by the center camera, and photographs photographed images P 2 - 1  and P 2  (hereinafter, referred to as the reference images) of the object that have parallax with respect to the center image P 1 , and reference numeral  3  is a first object extraction calculating unit that carries out an extraction calculation of the object image using a predetermined calculation parameter on the center image P 1  and the reference images P 2 - 1  and  2 - 2  that have been input, and finds the object extraction image P 3 . Moreover, the center camera  1 , the reference cameras  2 - 1  and  2 - 2 , and the first object extraction calculating unit  3  are structures similar to the conventional object extraction device shown in FIG. 15, the object extraction calculation of the first object extraction calculating unit  3  is like the conventional object extraction calculating unit  3  in FIG. 15, and the object extraction calculation of the first object extraction calculating unit  3  is carried out using the first calculation parameter.  
         [0055]    Reference numeral  111  is an incorrect outline extraction processing unit that extracts from the object extraction image P 3  found by the first object extraction calculating unit  3  a suspected incorrect outline as the outline of the object  3 , and comprises an outline extraction unit  4  that extracts an outline by tracing the outline part of an object from the object extraction image P 3 , an edge pixel calculating unit  5  that extracts the pixels on the edge part of the object from the input center image P 1 , and a first incorrect outline extraction unit  6  that extracts as an incorrect outline the straight line segment in the outline extracted by the outline extraction unit  4  that is the straight line segment not included in the pixels of the edge part found by the edge pixel calculating unit  5 , and has a length exceeding a predetermined threshold value.  
         [0056]    Reference numeral  7  is a recalculated region determining unit that determines as a recalculated region the rectangular region in a predetermined range that includes the incorrect outline extracted by the first incorrect outline extraction unit  6 , reference numeral  8  is a second object extraction calculating unit that finds the re-extracted image P 4 , which is the object extraction image of the recalculated region, by carrying out an object extraction calculation for the recalculated region determined by the recalculated region determining unit  7  using a predetermined second calculation parameter that is different from the first calculation parameter on the input center image P 1  and the reference images P 2 - 1  and  2 - 2 , and reference numeral  9  is an image reconstructing unit that reconstructs the object extraction image P 5  by exchanging the image of the region that corresponds to the recalculated region within the image region of the object extraction image P 3  found by the first object extraction calculating unit  3  and the re-extracted image  4  found by the second object extraction calculating device  8 . Moreover, in the object extraction calculation of the second object extraction calculating unit  8 , the object extraction calculation is carried out by using a second calculation parameter, like the first object extraction calculating unit  3 .  
         [0057]    Next, FIG. 4 to FIG. 8 are an example of drawings for explaining the operation of the object extraction device  101  shown in FIG. 1. The operation of the object extraction device  101  will be explained referring to these drawings.  
         [0058]    First, FIG. 4 shows the outline W 1  of an object photographed by the center camera  1 , and the outline W 1  of this complete circle and the interior of this outline W 1  are the object. First, when the center image P 1  and the reference images P 2 - 1  and  2 - 2 , which are the object photographed by the center camera  1  and the reference cameras  2 - 1  and  2 - 2 , are input into the object extraction device  101 , the first object extraction calculating unit  3  carries out object extraction calculation using a first calculation parameter, and the object extraction image P 3  shown in FIG. 5 is found, where in FIG. 5, the solid lines between points A 1 -A 2 , A 2 -A 3 , A 3 -A 4 , and A 4 -A 1  and the interior enclosed by these lines is the object extraction image P 3 .  
         [0059]    Next, from the object extraction image P 3  in FIG. 5, the outline extraction part  4  extracts as the outlines of the object the outline W 2  between points A 1 -A 4 , which is part of the complete circle; outline W 3 , which is the straight line segment between points A 1 -A 2 ; outline W 4 , which is the straight line segment between points A 2 -A 3 ; and outline W 5 , which is the straight line segment between points A 3 -A 4 . However, outline W 2  is a part of the outline W 1 , and outlines W 3 -W 5  are not included in outline W 1 . In addition, the edge pixel calculating unit  5  extracts from the input center image PI the pixels of the outline W 1  shown in FIG. 4 as the edge part of the object.  
         [0060]    Next, among the outlines W 2 -W 5  extracted by the outline extraction unit  4  and among outlines W 3 -W 5  that do not include the pixels of outline W 1  in the edge part found by the edge pixel calculating unit  5 , the first incorrect outline extraction unit  6  extracts as incorrect outlines the outlines W 3  and W 5 , which are straight line segments that have a length exceeding a predetermined threshold value, where this predetermined threshold value is, for example, 8 pixels. Moreover, in the case that an incorrect outline is not extracted, the processing ends, and the object extraction image P 3  is made the object extraction image P 5  by the image reconstructing unit  9 .  
         [0061]    Next, the re-calculated region determining unit  7  determines as one recalculated region the rectangular region S 1  having the predetermined range shown in FIG. 6, which includes the outline W 3  that was extracted as an incorrect outline by the incorrect outline extraction unit  6 , and determines as one recalculated region the rectangular region S 2  having the predetermined range shown in FIG. 6, which includes the outline W 5 . Here, for the straight line segment in a horizontal direction, the predetermined range of this determined rectangular region is, for example, the range separated only by the distance of 20 pixels each above, below, left, and right that enclose the line. In contrast, for a straight line segment in the vertical direction, the range is separated only by the distance of 20 pixels each above and below and 40 pixels each left and right that enclose this line. Next, the recalculated region determining unit  7  determines as the recalculated region the rectangular region S 3  that is the rectangular region that encompasses all of the overlapping recalculated region shown in FIG. 7, and that has the minimum area.  
         [0062]    Next, the second object extraction calculating unit  8  carries out the object extraction calculation for the rectangular region S 3 , which is the recalculated region determined by the recalculated region determining unit  7  using a predetermined second calculation parameter, on the input center image P and the reference images P 2 - 1  and  2 - 2 , and finds as the re-extracted image P 4  the outline W 6  shown in FIG. 8 and the inclined part encompasses by this outline.  
         [0063]    Next, the image reconstructing unit  9  exchanges the image in the region corresponding to the recalculated region in the image region of the object extraction image P 3  in FIG. 5, that is, the image of the rectangular region S 3  in FIG. 7, with the image of the rectangular region S 3  in FIG. 8. By this image exchange, the image of the inclined part in FIG. 7 and the inclined part in FIG. 8 are combined, and the object extraction image P 5  having the outline W 1  in FIG. 4 is reconstructed.  
         [0064]    Next, FIG. 2 is a block diagram showing the structure of the object extraction device  102  according to the second embodiment of the present invention. In this figure, only the second incorrect outline extraction unit  11  in the incorrect outline extraction processor  112  differs from the object extraction device  101  in FIG. 1. This second incorrect outline extraction unit  11  extracts as an incorrect outline the straight part that is the outline part within the outline extracted by the outline extraction unit  4  that intersects the pixels of the edge part found by the edge pixel calculating unit  5 , and has a length exceeding a predetermined threshold value.  
         [0065]    [0065]FIG. 9 to FIG. 14 are one example of drawings for explaining the operation of the above-described object extraction device  102 , and referring to these figures, the operation of the object extraction unit  102  will be explained below.  
         [0066]    First, FIG. 9 shows the outline W 11  of an object photographed by the center camera  1 , and the outline W 11  of the complete circle and interior of the outline W 11  comprise the object. In the beginning, the center image  1  and the reference images P 2 - 1  and  2 - 2 , which are the object photographed by the center camera  1  and the reference cameras  2 - 1  and  2 - 2 , are input into the object extraction device  102 , and the object extraction image P 3  shown in FIG. 10 is found by the first object extraction calculating unit  3  using the first calculation parameter, where in FIG. 10, the solid lines between points B 1 -B 2 , B 2 -B 3 , and B 3 -B 1  and the interior surrounded by the solid lines are the object extraction image P 3 .  
         [0067]    Next, from the object extraction image in FIG. 10, the outline extraction unit  4  extracts as the outline of the object the outline W 12  between points B 1 -B 3 , which are one part of the complete circle, the outline W 13 , which is the straight line segment between points B 1 -B 2 , and the outline W 14 , which is the straight line segment between points B 2  and B 3 . However, outline W 12  is a part of the outline W 11 , and outlines W 13  and W 14  are not included in outline W 11 . In addition, the edge pixel calculating unit  5  extracts the pixels in the edge waveforms W 15  and W 16  shown in FIG. 11 as the edge part of the object from the input center image P 1 , where the edge waveform  15  is equal to the outline W 11 .  
         [0068]    Next, the second incorrect extraction unit  11  extracts as an incorrect outline both the outlines W 13  and W 14  that are straight line segments that have lengths that exceed a predetermined threshold value in the outlines W 13  and W 14  that intersect the pixels of the edge waveform W 16  (shown by the broken line in FIG. 10) found by the edge pixel extraction unit  5  among the outlines W 12  to W 14  that were extracted by the outline extraction unit  4 . Moreover, in the case that an incorrect outline is not extracted, the processing stops, and the object extraction image P 3  is made the object extraction image P 5  by the image reconstructing unit  9 .  
         [0069]    Next, like the above-described first embodiment, the recalculated region determining unit  7  determines as the recalculated region the rectangular region S 13 , shown in FIG. 13, that has the smallest area, and is the rectangular region that encompasses the rectangular region S 11  having the predetermined range shown in FIG. 12 that includes the outline W 13  that was extracted as an incorrect outline by the first incorrect outline extraction unit  6  and the rectangular region S 12  that has a predetermined range including outline W 14 .  
         [0070]    Next, the second object extraction calculating unit  8  carries out the object extraction calculation for the rectangular region S 13  using a predetermined second calculation parameter on the input center image P 1  and the reference images P 2 - 1  and  2 - 2 , and finds as the re-extracted image P 4  the outline W 17 , shown in FIG. 14, and the inclined part enclosed by this outline.  
         [0071]    Next, like the above-described first embodiment, the image reconstructing part  9  combines the image of the inclined part in FIG. 13 and the inclined part in FIG. 14 by exchanging the image of the rectangular region S 13  in FIG. 13 and the image of the rectangular region S 13  in FIG. 14, and thereby reconstructs the object extraction image P 5  having the outline W 11  shown in FIG. 9.  
         [0072]    Next, FIG. 3 is a block diagram showing the structure of the object extraction device  103  according to the third embodiment of the present invention. In this figure, the structure differs from the above-described embodiments in that the incorrect outline exacting processor  113  has a first incorrect extraction unit  6  of the first embodiment and the second incorrect outline extraction unit  11  of the second embodiment, and the recalculated region determining unit  12  determines as the recalculated region the rectangular region having a predetermined range that includes this incorrect outline for the incorrect outline extracted by the first and second incorrect outline extraction units  6  and  11 . Therefore, the region that becomes the recalculated region extracted as the incorrect outline by the object extraction device  103  is either one or a plurality of the rectangular regions in the rectangular region having the smallest area that is the rectangular region having a predetermined range, which is the outline part that does not include the pixels in the edge part found by the edge pixel calculating unit  5 , and includes a straight line segment that has a length exceeding a predetermined first threshold value, the rectangular region that has a predetermined region that is the outline part that intersects the pixels of the edge part and includes a straight line segment that has a length exceeding a predetermined second threshold value, and a rectangular region that encompasses all of the overlapping recalculated region. Moreover, the structure of the other blocks and their operation is identical to that of the above-described embodiments.  
         [0073]    Moreover, in the above-described embodiments, if the first and second incorrect outline extraction units  6  and  11  extract as the incorrect outline the straight line segment along the scanning direction of the center image P 1 , then the amount of calculation expended in the incorrect outline extraction can be reduced.  
         [0074]    Moreover, in the above-described embodiments, because the recalculated region determining units  7  and  12  re-determine as the recalculated region the rectangular region that includes all of the overlapping recalculated region and has the smallest area, the redundant parts being calculated several times can be avoided, and the amount of calculation of the second object extraction calculating unit  8  can be reduced.  
         [0075]    Moreover, in the above-described embodiments, the recalculated region determining units  7  and  12  determine as the rectangular region the recalculated region, but the shape of the recalculated region is not limited to being a rectangle.  
         [0076]    Moreover, a program for reading each of the parts shown in FIGS. 1, 2, and  3  can be stored on computer readable recording media, and the object extraction processing carried out by reading the program stored on these recording media into a computer system and executing the program. Moreover, here, “computer system” includes any OS and hardware such as peripheral devices. In addition, in the case that the WWW system is used, “computer system” includes any home page providing environment (or display environment). In addition, “computer readable recording media” denotes memory media such as transferable media, examples being floppy disks, opto-magnetic disks, ROMs, and CD-ROMs, and hard disks built-into computer systems.  
         [0077]    Furthermore, “computer readable recording media” includes items (such as transmitting media and transmission waves) that dynamically maintain the program for a short time interval, such as a communication line used when transmitting the program via telecommunication lines such as networks and telephone lines, an example being the Internet, and in this case, items which maintain the program temporarily, such as the volatile memory in a computer system serving as a server or client. In addition, the above-described program can realize one part of the functions described above, and furthermore, the above-described functions can be realized by a combination of programs, that is, sub-files (or sub-programs), that are already stored in a computer system.  
         [0078]    Moreover, in the above-described embodiments, the second object extraction calculating unit  8  can compare the second calculation parameter used in the object extraction calculation with the first calculation parameter used by the first object extraction calculating unit  3 , and by making the calculation parameter carry out a more sophisticated object extraction calculation, can correct the incorrect outline generated by the first object extraction calculating unit  3  by carrying out a more sophisticated calculation on the part suspected of being an incorrect outline.  
         [0079]    Furthermore, compared to the case of using a calculation parameter for carrying out a more sophisticated object extraction calculation in the conventional object extraction device, carrying out a more sophisticated calculation is not limited to the part suspected of being an incorrect outline, and thus the overall amount of calculation of the object extraction can be decreased. As a result, the object extraction device according to the above-described embodiments of the present invention can be carried out by a small-scale computer such as a personal computer rather than a large-scale computer, as is done conventionally.  
         [0080]    As explained above, the present invention finds the object extraction image by carrying out object extraction calculation using a predetermined first calculation parameter on a plurality of photographed images having parallax with respect to the same object, extracts an outline from this object extraction image, and extracts as an incorrect outline a straight line segment that has a length exceeding a predetermined threshold value within this extracted outline. In addition, by determining as a recalculated region the partial region that includes this extracted incorrect outline and carrying out object extraction calculation of the recalculated region using a predetermined second calculation parameter that differs form the first calculation parameter, finding the re-extracted image, which is the object extraction image of the recalculated region, and reconstructing the object extraction image based on the object extraction image found using this first calculation parameter and the re-extracted image, in comparison to the conventional art, an object extraction image can be obtained that matches the object.