Types & classes — github.com/danini/graph-cut-ransac

CodeHub MCPcopy Create free account

hub / github.com/danini/graph-cut-ransac / types & classes

Types & classes129 in github.com/danini/graph-cut-ransac

⨍ Functions 824◇ Types & classes 129

↓ 8 callersClassstat

examples/cpp_example.cpp:44

↓ 7 callersClassScore

RANSAC Scoring */

src/pygcransac/include/scoring_function.h:48

↓ 5 callersClassBundleOptions

src/pygcransac/include/relative_pose/bundle.h:106

↓ 4 callersClassGCException

src/pygcransac/include/GCoptimization.h:117

↓ 2 callersClassDataCostFnFromArray

src/pygcransac/include/GCoptimization.h:334

↓ 2 callersClassSmoothCostFnFromArray

src/pygcransac/include/GCoptimization.h:358

↓ 1 callersClassCamera

src/pygcransac/include/relative_pose/colmap_models.h:10

↓ 1 callersClassDataCostFnFromFunction

src/pygcransac/include/GCoptimization.h:343

↓ 1 callersClassDataCostFnFromFunctionExtra

src/pygcransac/include/GCoptimization.h:350

↓ 1 callersClassDataCostFnSparse

src/pygcransac/include/GCoptimization.h:393

↓ 1 callersClassSPRTHistory

src/pygcransac/include/preemption/preemption_sprt.h:53

↓ 1 callersClassSmoothCostFnFromFunction

src/pygcransac/include/GCoptimization.h:367

↓ 1 callersClassSmoothCostFnFromFunctionExtra

src/pygcransac/include/GCoptimization.h:375

↓ 1 callersClassSmoothCostFnPotts

src/pygcransac/include/GCoptimization.h:384

ClassAbstractInlierSelector

src/pygcransac/include/inlier_selectors/inlier_selector.h:43

ClassAdaptiveReorderingSampler

src/pygcransac/include/samplers/adaptive_reordering_sampler.h:46

src/pygcransac/include/block.h:99

ClassCameraJacobianAccumulator

src/pygcransac/include/relative_pose/jacobian_impl.h:9

ClassCameraPose

src/pygcransac/include/relative_pose/bundle.h:10

ClassCauchyLoss

src/pygcransac/include/relative_pose/robust_loss.h:56

src/pygcransac/include/block.h:202

This is the estimator class for estimating a homography matrix between two images. A model estimation method and error calculation method are implemen

src/pygcransac/include/estimators/solver_dls_pnp.h:47

ClassDataCostBucket

src/pygcransac/include/GCoptimization.h:404

ClassDataCostFunctor

src/pygcransac/include/GCoptimization.h:204

This is the estimator class for estimating a homography matrix between two images. A model estimation method and error calculation method are implemen

src/pygcransac/include/estimators/solver_epnp_lm.h:49

ClassEigenvalueDecomposition

src/pygcransac/include/math_utils.h:89

ClassEmptyInlierSelector

src/pygcransac/include/inlier_selectors/empty_inlier_selector.h:45

ClassEmptyPreemptiveVerfication

src/pygcransac/include/preemption/preemption_empty.h:45

src/pygcransac/include/energy.h:79

ClassEssentialMatrix

src/pygcransac/include/model.h:96

ClassEssentialMatrixBundleAdjustmentSolver

This is the estimator class for estimating the essential matrix between two images from a larger-than-minimal sample using bundle adjustment.

src/pygcransac/include/estimators/solver_essential_matrix_bundle_adjustment.h:49

ClassEssentialMatrixEstimator

The solver used for estimating the model_ from a non-minimal sample

src/pygcransac/include/estimators/essential_estimator.h:57

ClassEssentialMatrixFivePointNisterSolver

This is the estimator class for estimating a homography matrix between two images. A model estimation method and error calculation method are implemen

src/pygcransac/include/estimators/solver_essential_matrix_five_point_nister.h:47

ClassEssentialMatrixFivePointSteweniusSolver

This is the estimator class for estimating a homography matrix between two images. A model estimation method and error calculation method are implemen

src/pygcransac/include/estimators/solver_essential_matrix_five_point_stewenius.h:46

ClassEssentialMatrixThreePointsGravity

This is the estimator class for estimating an essential matrix between two images when we are given the gravity direction in the two images.

src/pygcransac/include/estimators/solver_essential_matrix_three_points_gravity.h:48

ClassEssentialMatrixThreeSIFTSolver

This is the estimator class for estimating a homography matrix between two images. A model estimation method and error calculation method are implemen

src/pygcransac/include/estimators/solver_essential_matrix_three_sift.h:46

ClassEssentialMatrixTwoAffineSolver

This is the estimator class for estimating a homography matrix between two images. A model estimation method and error calculation method are implemen

src/pygcransac/include/estimators/solver_essential_matrix_two_affine.h:46

ClassEssentialMatrixTwoPointsPlanar

This is the estimator class for estimating an essential matrix between two images assuming that the camera moves on a plane, e.g., it is attached to a

src/pygcransac/include/estimators/solver_essential_matrix_two_points_planar.h:53

src/pygcransac/include/estimators/estimator.h:48

ClassFactorizedFundamentalMatrix

This is the SVD factorization proposed by Bartoli and Sturm in Non-Linear Estimation of the Fundamental Matrix With Minimal Parameters, PAMI 2004 Thou

src/pygcransac/include/relative_pose/jacobian_impl.h:472

ClassFlannNeighborhoodGraph

src/pygcransac/include/neighborhood/flann_neighborhood_graph.h:46

ClassFundamentalJacobianAccumulator

src/pygcransac/include/relative_pose/jacobian_impl.h:490

ClassFundamentalMatrix

src/pygcransac/include/model.h:84

ClassFundamentalMatrixBundleAdjustmentSolver

This is the estimator class for estimating the essential matrix between two images from a larger-than-minimal sample using bundle adjustment.

src/pygcransac/include/estimators/solver_fundamental_matrix_bundle_adjustment.h:49

ClassFundamentalMatrixEightPointSolver

This is the estimator class for estimating a homography matrix between two images. A model estimation method and error calculation method are implemen

src/pygcransac/include/estimators/solver_fundamental_matrix_eight_point.h:46

ClassFundamentalMatrixEstimator

The solver used for estimating the model from a non-minimal sample

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

ClassFundamentalMatrixFourSIFTSolver

This is the estimator class for estimating a homography matrix between two images. A model estimation method and error calculation method are implemen

src/pygcransac/include/estimators/solver_fundamental_matrix_four_sift.h:46

ClassFundamentalMatrixPlaneParallaxSolver

This is the estimator class for estimating a homography matrix between two images. A model estimation method and error calculation method are implemen

src/pygcransac/include/estimators/solver_fundamental_matrix_plane_and_parallax.h:48

ClassFundamentalMatrixSevenPointSolver

This is the estimator class for estimating a homography matrix between two images. A model estimation method and error calculation method are implemen

src/pygcransac/include/estimators/solver_fundamental_matrix_seven_point.h:46

ClassFundamentalMatrixThreeAffineSolver

This is the estimator class for estimating a homography matrix between two images. A model estimation method and error calculation method are implemen

src/pygcransac/include/estimators/solver_fundamental_matrix_three_affine.h:46

src/pygcransac/include/GCRANSAC.h:52

ClassGCoptimization

src/pygcransac/include/GCoptimization.h:158

ClassGCoptimization::GreedyIter<GCoptimization::DataCostFnSparse>

src/pygcransac/include/GCoptimization.cpp:559

ClassGCoptimizationGeneralGraph

src/pygcransac/include/GCoptimization.h:559

ClassGCoptimizationGridGraph

src/pygcransac/include/GCoptimization.h:533

src/pygcransac/include/graph.h:55

ClassGreedyIter

src/pygcransac/include/GCoptimization.h:489

src/pygcransac/include/neighborhood/grid_neighborhood_graph.h:49

ClassGridNeighborhoodGraph

src/pygcransac/include/neighborhood/grid_neighborhood_graph.h:132

ClassHomography

src/pygcransac/include/model.h:120

ClassHomographyBundleAdjustmentSolver

This is the estimator class for estimating the essential matrix between two images from a larger-than-minimal sample using bundle adjustment.

src/pygcransac/include/estimators/solver_homography_bundle_adjustment.h:49

ClassHomographyFourPointSolver

This is the estimator class for estimating a homography matrix between two images. A model estimation method and error calculation method are implemen

src/pygcransac/include/estimators/solver_homography_four_point.h:47

ClassHomographyJacobianAccumulator

src/pygcransac/include/relative_pose/jacobian_impl.h:191

ClassHomographyTwoAffineSolver

This is the estimator class for estimating a homography matrix between two images. A model estimation method and error calculation method are implemen

src/pygcransac/include/estimators/solver_homography_two_affine.h:46

ClassHomographyTwoSIFTSolver

This is the estimator class for estimating a homography matrix between two images. A model estimation method and error calculation method are implemen

src/pygcransac/include/estimators/solver_homography_two_sift.h:47

src/pygcransac/include/relative_pose/robust_loss.h:33

ClassImportanceSampler

Prosac sampler used for PROSAC implemented according to "cv::Matching with PROSAC - Progressive Sampling Consensus" by Chum and cv::Matas.

src/pygcransac/include/samplers/importance_sampler.h:51

ClassLLBlockStruct

src/pygcransac/include/LinkedBlockList.h:35

ClassLLBlockStruct

src/pygcransac/include/LinkedBlockList.h:37

src/pygcransac/include/GCoptimization.h:275

ClassLabelCostIter

src/pygcransac/include/GCoptimization.h:285

src/pygcransac/include/model.h:72

ClassLinearModelEstimator

The dimension of the space where the linear model is fitted

src/pygcransac/include/estimators/linear_model_estimator.h:63

ClassLinearModelSolver

src/pygcransac/include/estimators/solver_linear_model.h:47

ClassLinkedBlockList

src/pygcransac/include/LinkedBlockList.h:21

ClassLinkedBlockList

//////////////////////////////////////////////////////////////// GCoptimization class ////////////////////////////////////////////////////////////////

src/pygcransac/include/GCoptimization.h:156

src/pygcransac/include/relative_pose/bundle.h:108

ClassMAGSACScoringFunction

src/pygcransac/include/scoring_function.h:237

ClassMSACScoringFunction

src/pygcransac/include/scoring_function.h:103

src/pygcransac/include/model.h:43

ClassNapsacSampler

src/pygcransac/include/samplers/napsac_sampler.h:46

ClassNeighborStruct

src/pygcransac/include/GCoptimization.h:587

ClassNeighborhoodGraph

src/pygcransac/include/neighborhood/neighborhood_graph.h:46

This is the estimator class for estimating a homography matrix between two images. A model estimation method and error calculation method are implemen

src/pygcransac/include/estimators/solver_p3p.h:41

ClassPerspectiveNPointEstimator

The solver used for estimating the model from a non-minimal sample

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

ClassPnPBundleAdjustment

This is the estimator class for estimating a homography matrix between two images. A model estimation method and error calculation method are implemen

src/pygcransac/include/estimators/solver_pnp_bundle_adjustment.h:43

src/pygcransac/include/model.h:108

examples/cpp_example.cpp:46

ClassProgressiveNapsacSampler

src/pygcransac/include/samplers/progressive_napsac_sampler.h:50

ClassProsacSampler

Prosac sampler used for PROSAC implemented according to "cv::Matching with PROSAC - Progressive Sampling Consensus" by Chum and cv::Matas.

src/pygcransac/include/samplers/prosac_sampler.h:51

ClassRANSACStatistics

src/pygcransac/include/statistics.h:43

ClassRadialHomography

src/pygcransac/include/model.h:133

ClassRadialHomography5PC

This is the estimator class for estimating a homography matrix between two images. A model estimation method and error calculation method are implemen

src/pygcransac/include/estimators/solver_radial_homography_5pc.h:48

ClassRadialHomography6PC

This is the estimator class for estimating a homography matrix between two images. A model estimation method and error calculation method are implemen

src/pygcransac/include/estimators/solver_radial_homography_6pc.h:48

ClassRadialHomographyEstimator

The solver used for estimating the model from a non-minimal sample

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

ClassRansacParameters

Helper struct to hold parameters to various RANSAC schemes. error_thresh is the threshold for consider data points to be inliers to a model. This is t

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

ClassRansacSummary

A struct to hold useful outputs of Ransac-like methods.

src/pygcransac/include/estimators/sample_consensus_estimator.h:102

ClassRelativePoseJacobianAccumulator

src/pygcransac/include/relative_pose/jacobian_impl.h:307

ClassRigidTransformation

src/pygcransac/include/model.h:60

ClassRigidTransformationEstimator

The solver used for estimating the model from a non-minimal sample

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

next →1–100 of 129, ranked by callers