binocular_distanceT_binocular_distanceBinocularDistanceBinocularDistancebinocular_distance (Operator)

Name

binocular_distanceT_binocular_distanceBinocularDistanceBinocularDistancebinocular_distance — Compute the distance values for a rectified stereo image pair using correlation techniques.

Signature

binocular_distance(ImageRect1, ImageRect2 : Distance, Score : CamParamRect1, CamParamRect2, RelPoseRect, Method, MaskWidth, MaskHeight, TextureThresh, MinDisparity, MaxDisparity, NumLevels, ScoreThresh, Filter, SubDistance : )

Herror T_binocular_distance(const Hobject ImageRect1, const Hobject ImageRect2, Hobject* Distance, Hobject* Score, const Htuple CamParamRect1, const Htuple CamParamRect2, const Htuple RelPoseRect, const Htuple Method, const Htuple MaskWidth, const Htuple MaskHeight, const Htuple TextureThresh, const Htuple MinDisparity, const Htuple MaxDisparity, const Htuple NumLevels, const Htuple ScoreThresh, const Htuple Filter, const Htuple SubDistance)

void BinocularDistance(const HObject& ImageRect1, const HObject& ImageRect2, HObject* Distance, HObject* Score, const HTuple& CamParamRect1, const HTuple& CamParamRect2, const HTuple& RelPoseRect, const HTuple& Method, const HTuple& MaskWidth, const HTuple& MaskHeight, const HTuple& TextureThresh, const HTuple& MinDisparity, const HTuple& MaxDisparity, const HTuple& NumLevels, const HTuple& ScoreThresh, const HTuple& Filter, const HTuple& SubDistance)

HImage HImage::BinocularDistance(const HImage& ImageRect2, HImage* Score, const HCamPar& CamParamRect1, const HCamPar& CamParamRect2, const HPose& RelPoseRect, const HString& Method, Hlong MaskWidth, Hlong MaskHeight, const HTuple& TextureThresh, Hlong MinDisparity, Hlong MaxDisparity, Hlong NumLevels, const HTuple& ScoreThresh, const HTuple& Filter, const HTuple& SubDistance) const

HImage HImage::BinocularDistance(const HImage& ImageRect2, HImage* Score, const HCamPar& CamParamRect1, const HCamPar& CamParamRect2, const HPose& RelPoseRect, const HString& Method, Hlong MaskWidth, Hlong MaskHeight, double TextureThresh, Hlong MinDisparity, Hlong MaxDisparity, Hlong NumLevels, double ScoreThresh, const HString& Filter, const HString& SubDistance) const

HImage HImage::BinocularDistance(const HImage& ImageRect2, HImage* Score, const HCamPar& CamParamRect1, const HCamPar& CamParamRect2, const HPose& RelPoseRect, const char* Method, Hlong MaskWidth, Hlong MaskHeight, double TextureThresh, Hlong MinDisparity, Hlong MaxDisparity, Hlong NumLevels, double ScoreThresh, const char* Filter, const char* SubDistance) const

HImage HImage::BinocularDistance(const HImage& ImageRect2, HImage* Score, const HCamPar& CamParamRect1, const HCamPar& CamParamRect2, const HPose& RelPoseRect, const wchar_t* Method, Hlong MaskWidth, Hlong MaskHeight, double TextureThresh, Hlong MinDisparity, Hlong MaxDisparity, Hlong NumLevels, double ScoreThresh, const wchar_t* Filter, const wchar_t* SubDistance) const   (Windows only)

HImage HCamPar::BinocularDistance(const HImage& ImageRect1, const HImage& ImageRect2, HImage* Score, const HCamPar& CamParamRect2, const HPose& RelPoseRect, const HString& Method, Hlong MaskWidth, Hlong MaskHeight, const HTuple& TextureThresh, Hlong MinDisparity, Hlong MaxDisparity, Hlong NumLevels, const HTuple& ScoreThresh, const HTuple& Filter, const HTuple& SubDistance) const

HImage HCamPar::BinocularDistance(const HImage& ImageRect1, const HImage& ImageRect2, HImage* Score, const HCamPar& CamParamRect2, const HPose& RelPoseRect, const HString& Method, Hlong MaskWidth, Hlong MaskHeight, double TextureThresh, Hlong MinDisparity, Hlong MaxDisparity, Hlong NumLevels, double ScoreThresh, const HString& Filter, const HString& SubDistance) const

HImage HCamPar::BinocularDistance(const HImage& ImageRect1, const HImage& ImageRect2, HImage* Score, const HCamPar& CamParamRect2, const HPose& RelPoseRect, const char* Method, Hlong MaskWidth, Hlong MaskHeight, double TextureThresh, Hlong MinDisparity, Hlong MaxDisparity, Hlong NumLevels, double ScoreThresh, const char* Filter, const char* SubDistance) const

HImage HCamPar::BinocularDistance(const HImage& ImageRect1, const HImage& ImageRect2, HImage* Score, const HCamPar& CamParamRect2, const HPose& RelPoseRect, const wchar_t* Method, Hlong MaskWidth, Hlong MaskHeight, double TextureThresh, Hlong MinDisparity, Hlong MaxDisparity, Hlong NumLevels, double ScoreThresh, const wchar_t* Filter, const wchar_t* SubDistance) const   (Windows only)

HImage HPose::BinocularDistance(const HImage& ImageRect1, const HImage& ImageRect2, HImage* Score, const HCamPar& CamParamRect1, const HCamPar& CamParamRect2, const HString& Method, Hlong MaskWidth, Hlong MaskHeight, const HTuple& TextureThresh, Hlong MinDisparity, Hlong MaxDisparity, Hlong NumLevels, const HTuple& ScoreThresh, const HTuple& Filter, const HTuple& SubDistance) const

HImage HPose::BinocularDistance(const HImage& ImageRect1, const HImage& ImageRect2, HImage* Score, const HCamPar& CamParamRect1, const HCamPar& CamParamRect2, const HString& Method, Hlong MaskWidth, Hlong MaskHeight, double TextureThresh, Hlong MinDisparity, Hlong MaxDisparity, Hlong NumLevels, double ScoreThresh, const HString& Filter, const HString& SubDistance) const

HImage HPose::BinocularDistance(const HImage& ImageRect1, const HImage& ImageRect2, HImage* Score, const HCamPar& CamParamRect1, const HCamPar& CamParamRect2, const char* Method, Hlong MaskWidth, Hlong MaskHeight, double TextureThresh, Hlong MinDisparity, Hlong MaxDisparity, Hlong NumLevels, double ScoreThresh, const char* Filter, const char* SubDistance) const

HImage HPose::BinocularDistance(const HImage& ImageRect1, const HImage& ImageRect2, HImage* Score, const HCamPar& CamParamRect1, const HCamPar& CamParamRect2, const wchar_t* Method, Hlong MaskWidth, Hlong MaskHeight, double TextureThresh, Hlong MinDisparity, Hlong MaxDisparity, Hlong NumLevels, double ScoreThresh, const wchar_t* Filter, const wchar_t* SubDistance) const   (Windows only)

static void HOperatorSet.BinocularDistance(HObject imageRect1, HObject imageRect2, out HObject distance, out HObject score, HTuple camParamRect1, HTuple camParamRect2, HTuple relPoseRect, HTuple method, HTuple maskWidth, HTuple maskHeight, HTuple textureThresh, HTuple minDisparity, HTuple maxDisparity, HTuple numLevels, HTuple scoreThresh, HTuple filter, HTuple subDistance)

HImage HImage.BinocularDistance(HImage imageRect2, out HImage score, HCamPar camParamRect1, HCamPar camParamRect2, HPose relPoseRect, string method, int maskWidth, int maskHeight, HTuple textureThresh, int minDisparity, int maxDisparity, int numLevels, HTuple scoreThresh, HTuple filter, HTuple subDistance)

HImage HImage.BinocularDistance(HImage imageRect2, out HImage score, HCamPar camParamRect1, HCamPar camParamRect2, HPose relPoseRect, string method, int maskWidth, int maskHeight, double textureThresh, int minDisparity, int maxDisparity, int numLevels, double scoreThresh, string filter, string subDistance)

HImage HCamPar.BinocularDistance(HImage imageRect1, HImage imageRect2, out HImage score, HCamPar camParamRect2, HPose relPoseRect, string method, int maskWidth, int maskHeight, HTuple textureThresh, int minDisparity, int maxDisparity, int numLevels, HTuple scoreThresh, HTuple filter, HTuple subDistance)

HImage HCamPar.BinocularDistance(HImage imageRect1, HImage imageRect2, out HImage score, HCamPar camParamRect2, HPose relPoseRect, string method, int maskWidth, int maskHeight, double textureThresh, int minDisparity, int maxDisparity, int numLevels, double scoreThresh, string filter, string subDistance)

HImage HPose.BinocularDistance(HImage imageRect1, HImage imageRect2, out HImage score, HCamPar camParamRect1, HCamPar camParamRect2, string method, int maskWidth, int maskHeight, HTuple textureThresh, int minDisparity, int maxDisparity, int numLevels, HTuple scoreThresh, HTuple filter, HTuple subDistance)

HImage HPose.BinocularDistance(HImage imageRect1, HImage imageRect2, out HImage score, HCamPar camParamRect1, HCamPar camParamRect2, string method, int maskWidth, int maskHeight, double textureThresh, int minDisparity, int maxDisparity, int numLevels, double scoreThresh, string filter, string subDistance)

def binocular_distance(image_rect_1: HObject, image_rect_2: HObject, cam_param_rect_1: Sequence[Union[int, float, str]], cam_param_rect_2: Sequence[Union[int, float, str]], rel_pose_rect: Sequence[Union[int, float]], method: str, mask_width: int, mask_height: int, texture_thresh: Union[float, int], min_disparity: int, max_disparity: int, num_levels: int, score_thresh: Union[float, int], filter: MaybeSequence[str], sub_distance: MaybeSequence[str]) -> Tuple[HObject, HObject]

Description

binocular_distancebinocular_distanceBinocularDistanceBinocularDistanceBinocularDistancebinocular_distance computes the distance values for a rectified stereo image pair using correlation techniques. The operator first calculates the disparities between the two images ImageRect1ImageRect1ImageRect1ImageRect1imageRect1image_rect_1 and ImageRect2ImageRect2ImageRect2ImageRect2imageRect2image_rect_2 similar to binocular_disparitybinocular_disparityBinocularDisparityBinocularDisparityBinocularDisparitybinocular_disparity. The resulting disparities are transformed into distance values of the corresponding 3D world points to the rectified stereo camera system as in disparity_to_distancedisparity_to_distanceDisparityToDistanceDisparityToDistanceDisparityToDistancedisparity_to_distance. The distances are returned in the single-channel image DistanceDistanceDistanceDistancedistancedistance in which each gray value represents the distance of the respective 3D world point to the stereo camera system.

The algorithm requires a reference image ImageRect1ImageRect1ImageRect1ImageRect1imageRect1image_rect_1 and a search image ImageRect2ImageRect2ImageRect2ImageRect2imageRect2image_rect_2 which must be rectified, i.e., corresponding epipolar lines are parallel and lie on identical image rows ( ). In case this assumption is violated the images can be rectified by using the operators calibrate_camerascalibrate_camerasCalibrateCamerasCalibrateCamerasCalibrateCamerascalibrate_cameras, gen_binocular_rectification_mapgen_binocular_rectification_mapGenBinocularRectificationMapGenBinocularRectificationMapGenBinocularRectificationMapgen_binocular_rectification_map and map_imagemap_imageMapImageMapImageMapImagemap_image. Hence, given a pixel in the reference image ImageRect1ImageRect1ImageRect1ImageRect1imageRect1image_rect_1 the homologous pixel in ImageRect2ImageRect2ImageRect2ImageRect2imageRect2image_rect_2 is selected by searching along the corresponding row in ImageRect2ImageRect2ImageRect2ImageRect2imageRect2image_rect_2 and matching a local neighborhood within a rectangular window of size MaskWidthMaskWidthMaskWidthMaskWidthmaskWidthmask_width and MaskHeightMaskHeightMaskHeightMaskHeightmaskHeightmask_height. For each defined reference pixel the pixel correspondences are transformed into distances of the world points defined by the intersection of the lines of sight of a corresponding pixel pair to the plane of the rectified stereo system.

For this transformation the rectified internal camera parameters CamParamRect1CamParamRect1CamParamRect1CamParamRect1camParamRect1cam_param_rect_1 of camera 1 and CamParamRect2CamParamRect2CamParamRect2CamParamRect2camParamRect2cam_param_rect_2 of camera 2, and the pose with the external parameters RelPoseRectRelPoseRectRelPoseRectRelPoseRectrelPoseRectrel_pose_rect have to be defined. Latter one is of the form and characterizes the relative pose of both cameras to each other. More precisely, it specifies the point transformation from the rectified camera system 2 (ccsR2) into the rectified camera system 1 (ccsR1), see Transformations / Poses and “Solution Guide III-C - 3D Vision”. These parameters can be obtained from the operator calibrate_camerascalibrate_camerasCalibrateCamerasCalibrateCamerasCalibrateCamerascalibrate_cameras and gen_binocular_rectification_mapgen_binocular_rectification_mapGenBinocularRectificationMapGenBinocularRectificationMapGenBinocularRectificationMapgen_binocular_rectification_map. After all, a quality measure for each distance value is returned in ScoreScoreScoreScorescorescore, containing the best result of the matching function of a reference pixel. For the matching, the gray values of the original unprocessed images are used.

with

, , , : row and column coordinates of the corresponding pixels of the two input images,

, : gray values of the unprocessed input images,

: size of correlation window

: mean value within the correlation window of width and height .

Note that the methods 'sad'"sad""sad""sad""sad""sad" and 'ssd'"ssd""ssd""ssd""ssd""ssd" compare the gray values of the pixels within a mask window directly, whereas 'ncc'"ncc""ncc""ncc""ncc""ncc" compensates for the mean gray value and its variance within the mask window. Therefore, if the two images differ in brightness and contrast, this method should be preferred. For images with similar brightness and contrast 'sad'"sad""sad""sad""sad""sad" and 'ssd'"ssd""ssd""ssd""ssd""ssd" are to be preferred as they are faster because of less complex internal computations. See binocular_disparitybinocular_disparityBinocularDisparityBinocularDisparityBinocularDisparitybinocular_disparity for further details.

It should be noted that the quality of correlation for rising S is falling in methods 'sad'"sad""sad""sad""sad""sad" and 'ssd'"ssd""ssd""ssd""ssd""ssd" (the best quality value is 0) but rising in method 'ncc'"ncc""ncc""ncc""ncc""ncc" (the best quality value is 1.0).

The size of the correlation window has to be odd numbered and is passed in MaskWidthMaskWidthMaskWidthMaskWidthmaskWidthmask_width and MaskHeightMaskHeightMaskHeightMaskHeightmaskHeightmask_height. The search space is confined by the minimum and maximum disparity value MinDisparityMinDisparityMinDisparityMinDisparityminDisparitymin_disparity and MaxDisparityMaxDisparityMaxDisparityMaxDisparitymaxDisparitymax_disparity. Due to pixel values not defined beyond the image border the resulting domain of DistanceDistanceDistanceDistancedistancedistance and ScoreScoreScoreScorescorescore is generally not set along the image border within a margin of height MaskHeightMaskHeightMaskHeightMaskHeightmaskHeightmask_height/2 at the top and bottom border and of width MaskWidthMaskWidthMaskWidthMaskWidthmaskWidthmask_width/2 at the left and right border. For the same reason, the maximum disparity range is reduced at the left and right image border.

Since matching turns out to be highly unreliable when dealing with poorly textured areas, the minimum variance within the correlation window can be defined in TextureThreshTextureThreshTextureThreshTextureThreshtextureThreshtexture_thresh. This threshold is applied on both input images ImageRect1ImageRect1ImageRect1ImageRect1imageRect1image_rect_1 and ImageRect2ImageRect2ImageRect2ImageRect2imageRect2image_rect_2. In addition, ScoreThreshScoreThreshScoreThreshScoreThreshscoreThreshscore_thresh guarantees the matching quality and defines the maximum ('sad'"sad""sad""sad""sad""sad",'ssd'"ssd""ssd""ssd""ssd""ssd") or, respectively, minimum ('ncc'"ncc""ncc""ncc""ncc""ncc") score value of the correlation function. Setting FilterFilterFilterFilterfilterfilter to 'left_right_check'"left_right_check""left_right_check""left_right_check""left_right_check""left_right_check", moreover, increases the robustness of the returned matches, as the result relies on a concurrent direct and reverse match, whereas 'none'"none""none""none""none""none" switches it off.

The number of pyramid levels used to improve the time response of binocular_distancebinocular_distanceBinocularDistanceBinocularDistanceBinocularDistancebinocular_distance is determined by NumLevelsNumLevelsNumLevelsNumLevelsnumLevelsnum_levels. Following a coarse-to-fine scheme disparity images of higher levels are computed and segmented into rectangular subimages to reduce the disparity range on the next lower pyramid level. TextureThreshTextureThreshTextureThreshTextureThreshtextureThreshtexture_thresh and ScoreThreshScoreThreshScoreThreshScoreThreshscoreThreshscore_thresh are applied on every level and the returned domain of the DistanceDistanceDistanceDistancedistancedistance and ScoreScoreScoreScorescorescore images arises from the intersection of the resulting domains of every single level. Generally, pyramid structures are the more advantageous the more the distance image can be segmented into regions of homogeneous distance values and the bigger the disparity range must be specified. As a drawback, coarse pyramid levels might loose important texture information which can result in deficient distance values.

Finally, the value 'interpolation'"interpolation""interpolation""interpolation""interpolation""interpolation" for parameter SubDistanceSubDistanceSubDistanceSubDistancesubDistancesub_distance increases the refinement and accuracy of the distance values. It is switched off by setting the parameter to 'none'"none""none""none""none""none".

Attention

If using cameras with telecentric lenses, the DistanceDistanceDistanceDistancedistancedistance is not defined as the distance of a point to the camera but as the distance from the point to the plane, defined by the y-axes of both cameras and their baseline (see gen_binocular_rectification_mapgen_binocular_rectification_mapGenBinocularRectificationMapGenBinocularRectificationMapGenBinocularRectificationMapgen_binocular_rectification_map).

For a stereo setup of mixed type (i.e., for a stereo setup in which one of the original cameras is a perspective camera and the other camera is a telecentric camera; see gen_binocular_rectification_mapgen_binocular_rectification_mapGenBinocularRectificationMapGenBinocularRectificationMapGenBinocularRectificationMapgen_binocular_rectification_map), the rectifying plane of the two cameras is in a position with respect to the object that would lead to very unintuitive distances. Therefore, binocular_distancebinocular_distanceBinocularDistanceBinocularDistanceBinocularDistancebinocular_distance does not support a stereo setup of mixed type. For stereo setups of mixed type, please use reconstruct_surface_stereoreconstruct_surface_stereoReconstructSurfaceStereoReconstructSurfaceStereoReconstructSurfaceStereoreconstruct_surface_stereo, in which the reference coordinate system can be chosen arbitrarily. Alternatively, binocular_disparitybinocular_disparityBinocularDisparityBinocularDisparityBinocularDisparitybinocular_disparity and disparity_image_to_xyzdisparity_image_to_xyzDisparityImageToXyzDisparityImageToXyzDisparityImageToXyzdisparity_image_to_xyz might be used.

Additionally, stereo setups that contain cameras with and without hypercentric lenses at the same time are not supported.

Execution Information

Parameters

ImageRect1ImageRect1ImageRect1ImageRect1imageRect1image_rect_1 (input_object)  singlechannelimage objectHImageHObjectHImageHobject (byte)

Rectified image of camera 1.

ImageRect2ImageRect2ImageRect2ImageRect2imageRect2image_rect_2 (input_object)  singlechannelimage objectHImageHObjectHImageHobject (byte)

Rectified image of camera 2.

DistanceDistanceDistanceDistancedistancedistance (output_object)  singlechannelimage objectHImageHObjectHImageHobject * (real)

Distance image.

ScoreScoreScoreScorescorescore (output_object)  singlechannelimage objectHImageHObjectHImageHobject * (real)

Evaluation of a distance value.

CamParamRect1CamParamRect1CamParamRect1CamParamRect1camParamRect1cam_param_rect_1 (input_control)  campar HCamPar, HTupleSequence[Union[int, float, str]]HTupleHtuple (real / integer / string) (double / int / long / string) (double / Hlong / HString) (double / Hlong / char*)

Internal camera parameters of the rectified camera 1.

CamParamRect2CamParamRect2CamParamRect2CamParamRect2camParamRect2cam_param_rect_2 (input_control)  campar HCamPar, HTupleSequence[Union[int, float, str]]HTupleHtuple (real / integer / string) (double / int / long / string) (double / Hlong / HString) (double / Hlong / char*)

Internal camera parameters of the rectified camera 2.

RelPoseRectRelPoseRectRelPoseRectRelPoseRectrelPoseRectrel_pose_rect (input_control)  pose HPose, HTupleSequence[Union[int, float]]HTupleHtuple (real / integer) (double / int / long) (double / Hlong) (double / Hlong)

Point transformation from the rectified camera 2 to the rectified camera 1.

Number of elements: 7

MethodMethodMethodMethodmethodmethod (input_control)  string HTuplestrHTupleHtuple (string) (string) (HString) (char*)

Matching function.

Default value: 'ncc' "ncc" "ncc" "ncc" "ncc" "ncc"

List of values: 'ncc'"ncc""ncc""ncc""ncc""ncc", 'sad'"sad""sad""sad""sad""sad", 'ssd'"ssd""ssd""ssd""ssd""ssd"

MaskWidthMaskWidthMaskWidthMaskWidthmaskWidthmask_width (input_control)  integer HTupleintHTupleHtuple (integer) (int / long) (Hlong) (Hlong)

Width of the correlation window.

Default value: 11

Suggested values: 5, 7, 9, 11, 21

Restriction: 3 <= MaskWidth && odd(MaskWidth)

MaskHeightMaskHeightMaskHeightMaskHeightmaskHeightmask_height (input_control)  integer HTupleintHTupleHtuple (integer) (int / long) (Hlong) (Hlong)

Height of the correlation window.

Default value: 11

Suggested values: 5, 7, 9, 11, 21

Restriction: 3 <= MaskHeight && odd(MaskHeight)

TextureThreshTextureThreshTextureThreshTextureThreshtextureThreshtexture_thresh (input_control)  real HTupleUnion[float, int]HTupleHtuple (real / integer) (double / int / long) (double / Hlong) (double / Hlong)

Variance threshold of textured image regions.

Default value: 0.0

Suggested values: 0.0, 2.0, 5.0, 10.0

Restriction: 0.0 <= TextureThresh

MinDisparityMinDisparityMinDisparityMinDisparityminDisparitymin_disparity (input_control)  integer HTupleintHTupleHtuple (integer) (int / long) (Hlong) (Hlong)

Minimum of the expected disparities.

Default value: 0

Typical range of values: -32768 ≤ MinDisparity MinDisparity MinDisparity MinDisparity minDisparity min_disparity ≤ 32767

MaxDisparityMaxDisparityMaxDisparityMaxDisparitymaxDisparitymax_disparity (input_control)  integer HTupleintHTupleHtuple (integer) (int / long) (Hlong) (Hlong)

Maximum of the expected disparities.

Default value: 30

Typical range of values: -32768 ≤ MaxDisparity MaxDisparity MaxDisparity MaxDisparity maxDisparity max_disparity ≤ 32767

NumLevelsNumLevelsNumLevelsNumLevelsnumLevelsnum_levels (input_control)  integer HTupleintHTupleHtuple (integer) (int / long) (Hlong) (Hlong)

Number of pyramid levels.

Default value: 1

Suggested values: 1, 2, 3, 4

Restriction: 1 <= NumLevels

ScoreThreshScoreThreshScoreThreshScoreThreshscoreThreshscore_thresh (input_control)  real HTupleUnion[float, int]HTupleHtuple (real / integer) (double / int / long) (double / Hlong) (double / Hlong)

Threshold of the correlation function.

Default value: 0.0

Suggested values: 0.0, 2.0, 5.0, 10.0

FilterFilterFilterFilterfilterfilter (input_control)  string(-array) HTupleMaybeSequence[str]HTupleHtuple (string) (string) (HString) (char*)

Downstream filters.

Default value: 'none' "none" "none" "none" "none" "none"

List of values: 'left_right_check'"left_right_check""left_right_check""left_right_check""left_right_check""left_right_check", 'none'"none""none""none""none""none"

SubDistanceSubDistanceSubDistanceSubDistancesubDistancesub_distance (input_control)  string(-array) HTupleMaybeSequence[str]HTupleHtuple (string) (string) (HString) (char*)

Distance interpolation.

Default value: 'none' "none" "none" "none" "none" "none"

List of values: 'interpolation'"interpolation""interpolation""interpolation""interpolation""interpolation", 'none'"none""none""none""none""none"

Example (HDevelop)

* Set internal and external stereo parameters.
* Note that, typically, these values are the result of a prior
* calibration.
gen_cam_par_area_scan_division (0.01, -665, 5.2e-006, 5.2e-006, \
                                622, 517, 1280, 1024, CamParam1)
gen_cam_par_area_scan_division (0.01, -731, 5.2e-006, 5.2e-006, \
                                654, 519, 1280, 1024, CamParam2)
create_pose (0.1535,-0.0037,0.0447,0.17,319.84,359.89, \
             'Rp+T', 'gba', 'point', RelPose)
* Compute the mapping for rectified images.
gen_binocular_rectification_map (Map1, Map2, CamParam1, CamParam2, \
                                 RelPose, 1, 'viewing_direction', \
                                 'bilinear', CamParamRect1, CamParamRect2, \
                                 Cam1PoseRect1, Cam2PoseRect2, RelPoseRect)
* Compute the distance values in online images.
while (1)
  grab_image_async (Image1, AcqHandle1, -1)
  map_image (Image1, Map1, ImageRect1)

  grab_image_async (Image2, AcqHandle2, -1)
  map_image (Image2, Map2, ImageRect2)

  binocular_distance (ImageRect1, ImageRect2, Distance, Score, \
                      CamParamRect1, CamParamRect2, RelPoseRect, 'sad', \
                      11, 11, 20, -40, 20, 2, 25, \
                      'left_right_check', 'interpolation')
endwhile

Example (HDevelop)

* Set internal and external stereo parameters.
* Note that, typically, these values are the result of a prior
* calibration.
gen_cam_par_area_scan_division (0.01, -665, 5.2e-006, 5.2e-006, \
                                622, 517, 1280, 1024, CamParam1)
gen_cam_par_area_scan_division (0.01, -731, 5.2e-006, 5.2e-006, \
                                654, 519, 1280, 1024, CamParam2)
create_pose (0.1535,-0.0037,0.0447,0.17,319.84,359.89, \
             'Rp+T', 'gba', 'point', RelPose)
* Compute the mapping for rectified images.
gen_binocular_rectification_map (Map1, Map2, CamParam1, CamParam2, \
                                 RelPose, 1, 'viewing_direction', \
                                 'bilinear', CamParamRect1, CamParamRect2, \
                                 Cam1PoseRect1, Cam2PoseRect2, RelPoseRect)
* Compute the distance values in online images.
while (1)
  grab_image_async (Image1, AcqHandle1, -1)
  map_image (Image1, Map1, ImageRect1)

  grab_image_async (Image2, AcqHandle2, -1)
  map_image (Image2, Map2, ImageRect2)

  binocular_distance (ImageRect1, ImageRect2, Distance, Score, \
                      CamParamRect1, CamParamRect2, RelPoseRect, 'sad', \
                      11, 11, 20, -40, 20, 2, 25, \
                      'left_right_check', 'interpolation')
endwhile

Example (HDevelop)

* Set internal and external stereo parameters.
* Note that, typically, these values are the result of a prior
* calibration.
gen_cam_par_area_scan_division (0.01, -665, 5.2e-006, 5.2e-006, \
                                622, 517, 1280, 1024, CamParam1)
gen_cam_par_area_scan_division (0.01, -731, 5.2e-006, 5.2e-006, \
                                654, 519, 1280, 1024, CamParam2)
create_pose (0.1535,-0.0037,0.0447,0.17,319.84,359.89, \
             'Rp+T', 'gba', 'point', RelPose)
* Compute the mapping for rectified images.
gen_binocular_rectification_map (Map1, Map2, CamParam1, CamParam2, \
                                 RelPose, 1, 'viewing_direction', \
                                 'bilinear', CamParamRect1, CamParamRect2, \
                                 Cam1PoseRect1, Cam2PoseRect2, RelPoseRect)
* Compute the distance values in online images.
while (1)
  grab_image_async (Image1, AcqHandle1, -1)
  map_image (Image1, Map1, ImageRect1)

  grab_image_async (Image2, AcqHandle2, -1)
  map_image (Image2, Map2, ImageRect2)

  binocular_distance (ImageRect1, ImageRect2, Distance, Score, \
                      CamParamRect1, CamParamRect2, RelPoseRect, 'sad', \
                      11, 11, 20, -40, 20, 2, 25, \
                      'left_right_check', 'interpolation')
endwhile

Example (HDevelop)

* Set internal and external stereo parameters.
* Note that, typically, these values are the result of a prior
* calibration.
gen_cam_par_area_scan_division (0.01, -665, 5.2e-006, 5.2e-006, \
                                622, 517, 1280, 1024, CamParam1)
gen_cam_par_area_scan_division (0.01, -731, 5.2e-006, 5.2e-006, \
                                654, 519, 1280, 1024, CamParam2)
create_pose (0.1535,-0.0037,0.0447,0.17,319.84,359.89, \
             'Rp+T', 'gba', 'point', RelPose)
* Compute the mapping for rectified images.
gen_binocular_rectification_map (Map1, Map2, CamParam1, CamParam2, \
                                 RelPose, 1, 'viewing_direction', \
                                 'bilinear', CamParamRect1, CamParamRect2, \
                                 Cam1PoseRect1, Cam2PoseRect2, RelPoseRect)
* Compute the distance values in online images.
while (1)
  grab_image_async (Image1, AcqHandle1, -1)
  map_image (Image1, Map1, ImageRect1)

  grab_image_async (Image2, AcqHandle2, -1)
  map_image (Image2, Map2, ImageRect2)

  binocular_distance (ImageRect1, ImageRect2, Distance, Score, \
                      CamParamRect1, CamParamRect2, RelPoseRect, 'sad', \
                      11, 11, 20, -40, 20, 2, 25, \
                      'left_right_check', 'interpolation')
endwhile

Example (HDevelop)

* Set internal and external stereo parameters.
* Note that, typically, these values are the result of a prior
* calibration.
gen_cam_par_area_scan_division (0.01, -665, 5.2e-006, 5.2e-006, \
                                622, 517, 1280, 1024, CamParam1)
gen_cam_par_area_scan_division (0.01, -731, 5.2e-006, 5.2e-006, \
                                654, 519, 1280, 1024, CamParam2)
create_pose (0.1535,-0.0037,0.0447,0.17,319.84,359.89, \
             'Rp+T', 'gba', 'point', RelPose)
* Compute the mapping for rectified images.
gen_binocular_rectification_map (Map1, Map2, CamParam1, CamParam2, \
                                 RelPose, 1, 'viewing_direction', \
                                 'bilinear', CamParamRect1, CamParamRect2, \
                                 Cam1PoseRect1, Cam2PoseRect2, RelPoseRect)
* Compute the distance values in online images.
while (1)
  grab_image_async (Image1, AcqHandle1, -1)
  map_image (Image1, Map1, ImageRect1)

  grab_image_async (Image2, AcqHandle2, -1)
  map_image (Image2, Map2, ImageRect2)

  binocular_distance (ImageRect1, ImageRect2, Distance, Score, \
                      CamParamRect1, CamParamRect2, RelPoseRect, 'sad', \
                      11, 11, 20, -40, 20, 2, 25, \
                      'left_right_check', 'interpolation')
endwhile

Result

binocular_disparitybinocular_disparityBinocularDisparityBinocularDisparityBinocularDisparitybinocular_disparity returns TRUE if all parameter values are correct. If necessary, an exception is raised.

Possible Predecessors

map_imagemap_imageMapImageMapImageMapImagemap_image

Possible Successors

thresholdthresholdThresholdThresholdThresholdthreshold

Alternatives

binocular_distance_mgbinocular_distance_mgBinocularDistanceMgBinocularDistanceMgBinocularDistanceMgbinocular_distance_mg, binocular_distance_msbinocular_distance_msBinocularDistanceMsBinocularDistanceMsBinocularDistanceMsbinocular_distance_ms, binocular_disparitybinocular_disparityBinocularDisparityBinocularDisparityBinocularDisparitybinocular_disparity, binocular_disparity_mgbinocular_disparity_mgBinocularDisparityMgBinocularDisparityMgBinocularDisparityMgbinocular_disparity_mg, binocular_disparity_msbinocular_disparity_msBinocularDisparityMsBinocularDisparityMsBinocularDisparityMsbinocular_disparity_ms

See also

map_imagemap_imageMapImageMapImageMapImagemap_image, gen_binocular_rectification_mapgen_binocular_rectification_mapGenBinocularRectificationMapGenBinocularRectificationMapGenBinocularRectificationMapgen_binocular_rectification_map, binocular_calibrationbinocular_calibrationBinocularCalibrationBinocularCalibrationBinocularCalibrationbinocular_calibration, distance_to_disparitydistance_to_disparityDistanceToDisparityDistanceToDisparityDistanceToDisparitydistance_to_disparity, disparity_to_distancedisparity_to_distanceDisparityToDistanceDisparityToDistanceDisparityToDistancedisparity_to_distance, disparity_image_to_xyzdisparity_image_to_xyzDisparityImageToXyzDisparityImageToXyzDisparityImageToXyzdisparity_image_to_xyz

Module

3D Metrology