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

⨍ Functions 824◇ Types & classes 129

MethodgetOrientationSignum

src/pygcransac/include/estimators/fundamental_estimator.h:751

MethodgetOrientationSignum

src/pygcransac/include/estimators/essential_estimator.h:352

MethodgetRandomNumber

src/pygcransac/include/uniform_random_generator.h:65

Return the score of a model w.r.t. the data points and the threshold

src/pygcransac/include/scoring_function.h:246

MethodgetTraceConstraint

Builds the trace constraint: EEtE - 1/2 trace(EEt)E = 0

src/pygcransac/include/estimators/solver_essential_matrix_five_point_stewenius.h:340

Methodget_arc_ends

src/pygcransac/include/graph.h:441

Methodget_arc_num

src/pygcransac/include/graph.h:162

Functionget_bounds

src/pygcransac/include/maths/sturm_polynomial_solver.h:139

Methodget_first_arc

src/pygcransac/include/graph.h:429

Methodget_next_arc

src/pygcransac/include/graph.h:435

Methodget_node_num

other functions for reading graph structure

src/pygcransac/include/graph.h:161

src/pygcransac/include/graph.h:456

Methodget_trcap

src/pygcransac/include/graph.h:449

MethodgiveDataEnergy

src/pygcransac/include/GCoptimization.cpp:960

MethodgiveLabelEnergy

src/pygcransac/include/GCoptimization.cpp:969

MethodgiveNeighborInfo

src/pygcransac/include/GCoptimization.cpp:1528

MethodgiveSmoothEnergy

src/pygcransac/include/GCoptimization.cpp:950

MethodgiveSmoothEnergyInternal

src/pygcransac/include/GCoptimization.cpp:259

MethodgraphCutLocalOptimization

src/pygcransac/include/GCRANSAC.h:780

src/pygcransac/include/estimators/solver_radial_homography_5pc.h:177

MethodhandleError

src/pygcransac/include/GCoptimization.cpp:1113

src/pygcransac/include/math_utils.h:162

Methodid_from_string

src/pygcransac/include/relative_pose/colmap_models.cpp:30

MethodincrementIterationNumber

src/pygcransac/include/samplers/prosac_sampler.h:65

Methodinitialize

src/pygcransac/include/scoring_function.h:129

Methodinitialize

src/pygcransac/include/scoring_function.h:240

Methodinitialize

src/pygcransac/include/estimators/sample_consensus_estimator.h:123

Methodinitialize

src/pygcransac/include/estimators/sample_consensus_estimator.h:197

Methodinitialize

src/pygcransac/include/samplers/prosac_sampler.h:129

Methodinitialize

Initializes any non-trivial variables and sets up sampler if necessary. Must be called before sample is called.

src/pygcransac/include/samplers/uniform_sampler.h:67

Methodinitialize

Initializes any non-trivial variables and sets up sampler if necessary. Must be called before sample is called.

src/pygcransac/include/samplers/napsac_sampler.h:82

Methodinitialize

Initializes any non-trivial variables and sets up sampler if necessary. Must be called before sample is called.

src/pygcransac/include/samplers/single_point_sampler.h:87

Methodinitialize

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

Methodinitialize

Initializes any non-trivial variables and sets up sampler if necessary. Must be called before sample is called.

src/pygcransac/include/samplers/adaptive_reordering_sampler.h:104

Methodinitialize

This function is called only once to calculate the exact model estimation time of the current model on the current machine. It is required for SPRT to

src/pygcransac/include/preemption/preemption_sprt.h:104

Methodinitialize

src/pygcransac/include/neighborhood/grid_neighborhood_graph.h:230

Methodinitialize

src/pygcransac/include/neighborhood/flann_neighborhood_graph.h:100

Methodinitialize_from_txt

src/pygcransac/include/relative_pose/colmap_models.cpp:196

MethodinlierLimit

The size of a sample when doing inner RANSAC on a non-minimal sample

src/pygcransac/include/estimators/perspective_n_point_estimator.h:130

MethodinlierLimit

The size of a sample when doing inner RANSAC on a non-minimal sample

src/pygcransac/include/estimators/homography_affine_correspondence_estimator.h:119

MethodinlierLimit

The size of a sample when doing inner RANSAC on a non-minimal sample

src/pygcransac/include/estimators/rigid_transformation_estimator.h:119

MethodinlierLimit

The size of a sample when doing inner RANSAC on a non-minimal sample

src/pygcransac/include/estimators/radial_homography_estimator.h:124

MethodinlierLimit

The size of a sample when doing inner RANSAC on a non-minimal sample

src/pygcransac/include/estimators/fundamental_estimator.h:157

MethodinlierLimit

The size of a sample when doing inner RANSAC on a non-minimal sample

src/pygcransac/include/estimators/homography_estimator.h:119

MethodinlierLimit

The size of a sample_ when doing inner RANSAC on a non-minimal sample

src/pygcransac/include/estimators/essential_estimator.h:123

MethodisInitialized

Returns if the initialization was successfull.

src/pygcransac/include/neighborhood/neighborhood_graph.h:86

MethodisOrientationValid

src/pygcransac/include/estimators/fundamental_estimator.h:761

MethodisOrientationValid

src/pygcransac/include/estimators/essential_estimator.h:362

MethodisValidModel

src/pygcransac/include/estimators/perspective_n_point_estimator.h:217

MethodisValidModel

Enable a quick check to see if the model is valid. This can be a geometric check or some other verification of the model structure.

src/pygcransac/include/estimators/homography_affine_correspondence_estimator.h:326

MethodisValidModel

Enable a quick check to see if the model is valid. This can be a geometric check or some other verification of the model structure.

src/pygcransac/include/estimators/rigid_transformation_estimator.h:208

MethodisValidModel

Validate the model by checking the number of inlier with symmetric epipolar distance instead of Sampson distance. In general, Sampson distance is more

src/pygcransac/include/estimators/fundamental_estimator.h:287

MethodisValidModel

Enable a quick check to see if the model is valid. This can be a geometric check or some other verification of the model structure.

src/pygcransac/include/estimators/homography_estimator.h:326

MethodisValidModel

Validate the model by checking the number of inlier with symmetric epipolar distance instead of Sampson distance. In general, Sampson distance is more

src/pygcransac/include/estimators/linear_model_estimator.h:190

MethodisValidModel

Validate the model by checking the number of inlier with symmetric epipolar distance instead of Sampson distance. In general, Sampson distance is more

src/pygcransac/include/estimators/essential_estimator.h:279

MethodisValidSample

A function to decide if the selected sample is degenerate or not before calculating the model parameters

src/pygcransac/include/estimators/homography_affine_correspondence_estimator.h:346

MethodisValidSample

A function to decide if the selected sample is degenerate or not before calculating the model parameters

src/pygcransac/include/estimators/rigid_transformation_estimator.h:199

MethodisValidSample

A function to decide if the selected sample is degenerate or not before calculating the model parameters

src/pygcransac/include/estimators/radial_homography_estimator.h:247

MethodisValidSample

A function to decide if the selected sample is degenerate or not before calculating the model parameters

src/pygcransac/include/estimators/homography_estimator.h:346

MethodisWeightingApplicable

A flag deciding if the points can be weighted when the non-minimal fitting is applied

src/pygcransac/include/estimators/perspective_n_point_estimator.h:125

MethodisWeightingApplicable

A flag deciding if the points can be weighted when the non-minimal fitting is applied

src/pygcransac/include/estimators/homography_affine_correspondence_estimator.h:109

MethodisWeightingApplicable

A flag deciding if the points can be weighted when the non-minimal fitting is applied

src/pygcransac/include/estimators/rigid_transformation_estimator.h:109

MethodisWeightingApplicable

A flag deciding if the points can be weighted when the non-minimal fitting is applied

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

MethodisWeightingApplicable

A flag deciding if the points can be weighted when the non-minimal fitting is applied

src/pygcransac/include/estimators/fundamental_estimator.h:152

MethodisWeightingApplicable

A flag deciding if the points can be weighted when the non-minimal fitting is applied

src/pygcransac/include/estimators/homography_estimator.h:109

MethodisWeightingApplicable

A flag deciding if the points can be weighted when the non-minimal fitting is applied

src/pygcransac/include/estimators/linear_model_estimator.h:122

MethodisWeightingApplicable

A flag deciding if the points can be weighted when the non-minimal fitting is applied

src/pygcransac/include/estimators/essential_estimator.h:118

Functionisolate_roots

src/pygcransac/include/maths/sturm_polynomial_solver.h:206

MethoditeratedLeastSquaresFitting

src/pygcransac/include/GCRANSAC.h:630

src/pygcransac/include/GCoptimization.h:421

src/pygcransac/include/GCoptimization.h:502

src/pygcransac/include/GCRANSAC.h:913

MethodleftMultiplyMatrix

Transforms a 3 - vector in a 3x9 matrix such that : R * v = leftMultiplyMatrix(v) * vec(R) Where R is a rotation matrix and vec(R) converts R to a 9x1

src/pygcransac/include/estimators/solver_dls_pnp.h:271

Functionlm_5dof_impl

src/pygcransac/include/relative_pose/bundle.cpp:177

Functionlm_6dof_impl

src/pygcransac/include/relative_pose/bundle.cpp:102

Functionlm_F_impl

src/pygcransac/include/relative_pose/bundle.cpp:253

Functionlm_H_impl

src/pygcransac/include/relative_pose/bundle.cpp:342

Functionlm_pnp_impl

src/pygcransac/include/relative_pose/bundle.cpp:24

FunctionloadMatrix

src/pygcransac/include/utils.h:410

src/pygcransac/include/relative_pose/robust_loss.h:11

src/pygcransac/include/relative_pose/robust_loss.h:22

src/pygcransac/include/relative_pose/robust_loss.h:59

examples/cpp_example.cpp:176

Methodmark_node

src/pygcransac/include/graph.h:491

src/pygcransac/include/maxflow.cpp:472

Methodmaxflow_init

src/pygcransac/include/maxflow.cpp:119

Methodmaxflow_reuse_trees_init

src/pygcransac/include/maxflow.cpp:159

MethodmaximumMinimalSolutions

The size of a minimal sample_ required for the estimation

src/pygcransac/include/estimators/perspective_n_point_estimator.h:120

MethodmaximumMinimalSolutions

The size of a minimal sample_ required for the estimation

src/pygcransac/include/estimators/homography_affine_correspondence_estimator.h:114

MethodmaximumMinimalSolutions

The size of a minimal sample_ required for the estimation

src/pygcransac/include/estimators/rigid_transformation_estimator.h:114

MethodmaximumMinimalSolutions

The size of a minimal sample_ required for the estimation

src/pygcransac/include/estimators/radial_homography_estimator.h:119

MethodmaximumMinimalSolutions

The size of a minimal sample_ required for the estimation

src/pygcransac/include/estimators/fundamental_estimator.h:137

MethodmaximumMinimalSolutions

The size of a minimal sample_ required for the estimation

src/pygcransac/include/estimators/homography_estimator.h:114

MethodmaximumMinimalSolutions

The size of a minimal sample_ required for the estimation

src/pygcransac/include/estimators/essential_estimator.h:113

MethodmaximumSolutions

The maximum number of solutions returned by the estimator

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

MethodmaximumSolutions

The maximum number of solutions that this algorithm returns

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

MethodmaximumSolutions

The maximum number of solutions that this algorithm returns

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

MethodmaximumSolutions

The maximum number of solutions returned by the estimator

src/pygcransac/include/estimators/solver_radial_homography_6pc.h:78

MethodmaximumSolutions

The maximum number of solutions returned by the estimator

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

MethodmaximumSolutions

The maximum number of solutions returned by the estimator

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

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