3D Reconstruction - Binocular Stereo

HALCON ScriptCpp++.NETPythonC

Operators

binocular_disparityBinocularDisparity: Compute the disparities of a rectified image pair using correlation techniques.

binocular_disparity_mgBinocularDisparityMg: Compute the disparities of a rectified stereo image pair using multigrid methods.

binocular_disparity_msBinocularDisparityMs: Compute the disparities of a rectified stereo image pair using multi-scanline optimization.

binocular_distanceBinocularDistance: Compute the distance values for a rectified stereo image pair using correlation techniques.

binocular_distance_mgBinocularDistanceMg: Compute the distance values for a rectified stereo image pair using multigrid methods.

binocular_distance_msBinocularDistanceMs: Compute the distance values for a rectified stereo image pair using multi-scanline optimization.

disparity_image_to_xyzDisparityImageToXyz: Transform a disparity image into 3D points in a rectified stereo system.

disparity_to_distanceDisparityToDistance: Transform a disparity value into a distance value in a rectified binocular stereo system.

disparity_to_point_3dDisparityToPoint3d: Transform an image point and its disparity into a 3D point in a rectified stereo system.

distance_to_disparityDistanceToDisparity: Transform a distance value into a disparity in a rectified stereo system.

essential_to_fundamental_matrixEssentialToFundamentalMatrix: Compute the fundamental matrix from an essential matrix.

gen_binocular_proj_rectificationGenBinocularProjRectification: Compute the projective rectification of weakly calibrated binocular stereo images.

gen_binocular_rectification_mapGenBinocularRectificationMap: Generate transformation maps that describe the mapping of the images of a binocular camera pair to a common rectified image plane.

intersect_lines_of_sightIntersectLinesOfSight: Get a 3D point from the intersection of two lines of sight within a binocular camera system.

match_essential_matrix_ransacMatchEssentialMatrixRansac: Compute the essential matrix for a pair of stereo images by automatically finding correspondences between image points.

match_fundamental_matrix_distortion_ransacMatchFundamentalMatrixDistortionRansac: Compute the fundamental matrix and the radial distortion coefficient for a pair of stereo images by automatically finding correspondences between image points.

match_fundamental_matrix_ransacMatchFundamentalMatrixRansac: Compute the fundamental matrix for a pair of stereo images by automatically finding correspondences between image points.

match_rel_pose_ransacMatchRelPoseRansac: Compute the relative orientation between two cameras by automatically finding correspondences between image points.

reconst3d_from_fundamental_matrixReconst3dFromFundamentalMatrix: Compute the projective 3d reconstruction of points based on the fundamental matrix.

rel_pose_to_fundamental_matrixRelPoseToFundamentalMatrix: Compute the fundamental matrix from the relative orientation of two cameras.

vector_to_essential_matrixVectorToEssentialMatrix: Compute the essential matrix given image point correspondences and known camera matrices and reconstruct 3D points.

vector_to_fundamental_matrixVectorToFundamentalMatrix: Compute the fundamental matrix given a set of image point correspondences and reconstruct 3D points.

vector_to_fundamental_matrix_distortionVectorToFundamentalMatrixDistortion: Compute the fundamental matrix and the radial distortion coefficient given a set of image point correspondences and reconstruct 3D points.

vector_to_rel_poseVectorToRelPose: Compute the relative orientation between two cameras given image point correspondences and known camera parameters and reconstruct 3D space points.