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Functions824 in github.com/danini/graph-cut-ransac

⨍ Functions 824◇ Types & classes 129

src/pygcransac/include/samplers/importance_sampler.h:102

src/pygcransac/include/samplers/adaptive_reordering_sampler.h:109

src/pygcransac/include/relative_pose/jacobian_impl.h:205

src/pygcransac/include/relative_pose/jacobian_impl.h:321

src/pygcransac/include/relative_pose/jacobian_impl.h:504

src/pygcransac/include/estimators/perspective_n_point_estimator.h:205

src/pygcransac/include/estimators/homography_affine_correspondence_estimator.h:201

src/pygcransac/include/estimators/rigid_transformation_estimator.h:185

src/pygcransac/include/estimators/radial_homography_estimator.h:233

The residual function used for deciding which points are inliers

src/pygcransac/include/estimators/fundamental_estimator.h:269

src/pygcransac/include/estimators/homography_estimator.h:201

The residual function used for deciding which points are inliers

src/pygcransac/include/estimators/linear_model_estimator.h:167

The residual function used for deciding which points are inliers

src/pygcransac/include/estimators/essential_estimator.h:261

MethodreturnMultipleModels

Determines if there is a chance of returning multiple models the function 'estimateModel' is applied.

src/pygcransac/include/estimators/solver_pnp_bundle_adjustment.h:74

MethodreturnMultipleModels

Determines if there is a chance of returning multiple models when function 'estimateModel' is applied.

src/pygcransac/include/estimators/solver_fundamental_matrix_three_affine.h:59

MethodreturnMultipleModels

Determines if there is a chance of returning multiple models when function 'estimateModel' is applied.

src/pygcransac/include/estimators/solver_essential_matrix_two_affine.h:65

MethodreturnMultipleModels

Determines if there is a chance of returning multiple models the function 'estimateModel' is applied.

src/pygcransac/include/estimators/solver_radial_homography_6pc.h:67

MethodreturnMultipleModels

Determines if there is a chance of returning multiple models the function 'estimateModel' is applied.

src/pygcransac/include/estimators/solver_essential_matrix_five_point_nister.h:73

MethodreturnMultipleModels

Determines if there is a chance of returning multiple models the function 'estimateModel' is applied.

src/pygcransac/include/estimators/solver_fundamental_matrix_eight_point.h:59

MethodreturnMultipleModels

Determines if there is a chance of returning multiple models the function 'estimateModel' is applied.

src/pygcransac/include/estimators/solver_rigid_transformation_svd.h:60

MethodreturnMultipleModels

Determines if there is a chance of returning multiple models the function 'estimateModel' is applied.

src/pygcransac/include/estimators/solver_dls_pnp.h:60

MethodreturnMultipleModels

Determines if there is a chance of returning multiple models when function 'estimateModel' is applied.

src/pygcransac/include/estimators/solver_linear_model.h:60

MethodreturnMultipleModels

Determines if there is a chance of returning multiple models when function 'estimateModel' is applied.

src/pygcransac/include/estimators/solver_homography_two_affine.h:59

MethodreturnMultipleModels

Determines if there is a chance of returning multiple models when function 'estimateModel' is applied.

src/pygcransac/include/estimators/solver_essential_matrix_three_sift.h:59

MethodreturnMultipleModels

Determines if there is a chance of returning multiple models the function 'estimateModel' is applied.

src/pygcransac/include/estimators/solver_engine.h:67

MethodreturnMultipleModels

Determines if there is a chance of returning multiple models when function 'estimateModel' is applied.

src/pygcransac/include/estimators/solver_homography_two_sift.h:77

MethodreturnMultipleModels

Determines if there is a chance of returning multiple models the function 'estimateModel' is applied.

src/pygcransac/include/estimators/solver_p3p.h:55

MethodreturnMultipleModels

Determines if there is a chance of returning multiple models when function 'estimateModel' is applied.

src/pygcransac/include/estimators/solver_fundamental_matrix_four_sift.h:59

MethodreturnMultipleModels

Determines if there is a chance of returning multiple models the function 'estimateModel' is applied.

src/pygcransac/include/estimators/solver_fundamental_matrix_bundle_adjustment.h:93

MethodreturnMultipleModels

Determines if there is a chance of returning multiple models when function 'estimateModel' is applied.

src/pygcransac/include/estimators/solver_fundamental_matrix_plane_and_parallax.h:73

MethodreturnMultipleModels

Determines if there is a chance of returning multiple models the function 'estimateModel' is applied.

src/pygcransac/include/estimators/solver_essential_matrix_three_points_gravity.h:81

MethodreturnMultipleModels

Determines if there is a chance of returning multiple models the function 'estimateModel' is applied.

src/pygcransac/include/estimators/solver_homography_bundle_adjustment.h:86

MethodreturnMultipleModels

Determines if there is a chance of returning multiple models the function 'estimateModel' is applied.

src/pygcransac/include/estimators/solver_essential_matrix_five_point_stewenius.h:72

MethodreturnMultipleModels

Determines if there is a chance of returning multiple models the function 'estimateModel' is applied.

src/pygcransac/include/estimators/solver_radial_homography_5pc.h:75

MethodreturnMultipleModels

Determines if there is a chance of returning multiple models the function 'estimateModel' is applied.

src/pygcransac/include/estimators/solver_essential_matrix_bundle_adjustment.h:93

MethodreturnMultipleModels

Determines if there is a chance of returning multiple models when function 'estimateModel' is applied.

src/pygcransac/include/estimators/solver_essential_matrix_two_points_planar.h:73

MethodreturnMultipleModels

Determines if there is a chance of returning multiple models the function 'estimateModel' is applied.

src/pygcransac/include/estimators/solver_homography_four_point.h:60

MethodreturnMultipleModels

Determines if there is a chance of returning multiple models the function 'estimateModel' is applied.

src/pygcransac/include/estimators/solver_epnp_lm.h:62

MethodreturnMultipleModels

Determines if there is a chance of returning multiple models when function 'estimateModel' is applied.

src/pygcransac/include/estimators/solver_fundamental_matrix_seven_point.h:59

Functionridders_method_newton

src/pygcransac/include/maths/sturm_polynomial_solver.h:149

The function that runs the model-based inlier selector

src/pygcransac/include/inlier_selectors/empty_inlier_selector.h:57

MethodrunHomography

src/pygcransac/include/inlier_selectors/space_partitioning_ransac.h:341

MethodrunRigidTransformation

src/pygcransac/include/inlier_selectors/space_partitioning_ransac.h:160

src/pygcransac/include/GCRANSAC.h:762

Samples the input variable data and fills the std::vector subset with the prosac samples. NOTE: This assumes that data is in sorted order by quality w

src/pygcransac/include/samplers/prosac_sampler.h:207

src/pygcransac/include/samplers/uniform_sampler.h:97

src/pygcransac/include/samplers/progressive_napsac_sampler.h:206

src/pygcransac/include/samplers/single_point_sampler.h:106

Samples the input variable data and fills the std::vector subset with the prosac samples. NOTE: This assumes that data is in sorted order by quality w

src/pygcransac/include/samplers/importance_sampler.h:122

src/pygcransac/include/samplers/adaptive_reordering_sampler.h:154

MethodsampleSize

The size of a minimal sample required for the estimation

src/pygcransac/include/estimators/perspective_n_point_estimator.h:115

MethodsampleSize

The minimum number of points required for the estimation

src/pygcransac/include/estimators/solver_pnp_bundle_adjustment.h:86

MethodsampleSize

The minimum number of points required for the estimation

src/pygcransac/include/estimators/solver_fundamental_matrix_three_affine.h:71

MethodsampleSize

The minimum number of points required for the estimation

src/pygcransac/include/estimators/solver_essential_matrix_two_affine.h:58

MethodsampleSize

The minimum number of points required for the estimation

src/pygcransac/include/estimators/solver_radial_homography_6pc.h:60

MethodsampleSize

The minimum number of points required for the estimation

src/pygcransac/include/estimators/solver_essential_matrix_five_point_nister.h:66

MethodsampleSize

The minimum number of points required for the estimation

src/pygcransac/include/estimators/solver_fundamental_matrix_eight_point.h:71

MethodsampleSize

The minimum number of points required for the estimation

src/pygcransac/include/estimators/solver_rigid_transformation_svd.h:72

MethodsampleSize

The size of a minimal sample required for the estimation

src/pygcransac/include/estimators/homography_affine_correspondence_estimator.h:104

MethodsampleSize

The minimum number of points required for the estimation

src/pygcransac/include/estimators/solver_dls_pnp.h:72

MethodsampleSize

The size of a minimal sample required for the estimation

src/pygcransac/include/estimators/rigid_transformation_estimator.h:104

MethodsampleSize

The minimum number of points required for the estimation

src/pygcransac/include/estimators/solver_linear_model.h:72

MethodsampleSize

The size of a minimal sample required for the estimation

src/pygcransac/include/estimators/radial_homography_estimator.h:80

MethodsampleSize

The minimum number of points required for the estimation

src/pygcransac/include/estimators/solver_homography_two_affine.h:71

MethodsampleSize

The size of a minimal sample required for the estimation

src/pygcransac/include/estimators/fundamental_estimator.h:147

MethodsampleSize

The minimum number of points required for the estimation

src/pygcransac/include/estimators/solver_essential_matrix_three_sift.h:76

MethodsampleSize

The size of a minimal sample required for the estimation

src/pygcransac/include/estimators/homography_estimator.h:104

MethodsampleSize

The minimum number of points required for the estimation

src/pygcransac/include/estimators/solver_engine.h:79

MethodsampleSize

The minimum number of points required for the estimation

src/pygcransac/include/estimators/solver_homography_two_sift.h:89

MethodsampleSize

The minimum number of points required for the estimation

src/pygcransac/include/estimators/solver_fundamental_matrix_four_sift.h:76

MethodsampleSize

The size of a minimal sample required for the estimation

src/pygcransac/include/estimators/linear_model_estimator.h:117

MethodsampleSize

The minimum number of points required for the estimation

src/pygcransac/include/estimators/solver_fundamental_matrix_bundle_adjustment.h:86

MethodsampleSize

The minimum number of points required for the estimation

src/pygcransac/include/estimators/solver_fundamental_matrix_plane_and_parallax.h:85

MethodsampleSize

The minimum number of points required for the estimation

src/pygcransac/include/estimators/solver_essential_matrix_three_points_gravity.h:62

MethodsampleSize

The minimum number of points required for the estimation

src/pygcransac/include/estimators/solver_homography_bundle_adjustment.h:79

MethodsampleSize

The minimum number of points required for the estimation

src/pygcransac/include/estimators/solver_essential_matrix_five_point_stewenius.h:65

MethodsampleSize

The minimum number of points required for the estimation

src/pygcransac/include/estimators/solver_radial_homography_5pc.h:68

MethodsampleSize

The minimum number of points required for the estimation

src/pygcransac/include/estimators/solver_essential_matrix_bundle_adjustment.h:86

MethodsampleSize

The size of a minimal sample_ required for the estimation

src/pygcransac/include/estimators/essential_estimator.h:108

MethodsampleSize

The minimum number of points required for the estimation

src/pygcransac/include/estimators/solver_essential_matrix_two_points_planar.h:79

MethodsampleSize

The minimum number of points required for the estimation

src/pygcransac/include/estimators/solver_homography_four_point.h:72

MethodsampleSize

The minimum number of points required for the estimation

src/pygcransac/include/estimators/solver_epnp_lm.h:74

MethodsampleSize

The minimum number of points required for the estimation

src/pygcransac/include/estimators/solver_fundamental_matrix_seven_point.h:71

MethodsampsonDistance

The sampson distance between a point correspondence and an essential matrix

src/pygcransac/include/estimators/fundamental_estimator.h:187

MethodsampsonDistance

The squared sampson distance between a point_ correspondence and an essential matrix

src/pygcransac/include/estimators/essential_estimator.h:178

FunctionsaveStatisticsToFile

src/pygcransac/include/utils.h:500

src/pygcransac/include/GCoptimization.cpp:1851

MethodsetAllNeighbors

src/pygcransac/include/GCoptimization.cpp:1711

MethodsetDataCost

src/pygcransac/include/GCoptimization.cpp:755

MethodsetDataCostFunctor

src/pygcransac/include/GCoptimization.cpp:793

MethodsetFundamentalMatrix

src/pygcransac/include/estimators/solver_homography_two_sift.h:99

MethodsetIntrinsics

src/pygcransac/include/estimators/solver_radial_homography_6pc.h:99

MethodsetIntrinsics

src/pygcransac/include/estimators/solver_radial_homography_5pc.h:107

src/pygcransac/include/GCoptimization.h:615

MethodsetLabelCost

src/pygcransac/include/GCoptimization.cpp:875

MethodsetLabelOrder

src/pygcransac/include/GCoptimization.cpp:1090

MethodsetLabelSubsetCost

src/pygcransac/include/GCoptimization.cpp:894

MethodsetNeighbors

src/pygcransac/include/GCoptimization.cpp:1683

MethodsetSkippingParameter

src/pygcransac/include/scoring_function.h:124

MethodsetSmoothCost

src/pygcransac/include/GCoptimization.cpp:827

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