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| class | ConvergenceCriteria |
| | ConvergenceCriteria represents an abstract base class for different convergence criteria used in registration loops. More...
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| class | CorrespondenceEstimationBase |
| | Abstract CorrespondenceEstimationBase class. More...
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| class | CorrespondenceEstimation |
| | CorrespondenceEstimation represents a simple class for determining correspondences between target and query point sets/features, using nearest neighbor search. More...
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| class | CorrespondenceEstimationBackProjection |
| | CorrespondenceEstimationBackprojection computes correspondences as points in the target cloud which have minimum More...
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| class | CorrespondenceEstimationNormalShooting |
| | CorrespondenceEstimationNormalShooting computes correspondences as points in the target cloud which have minimum distance to normals computed on the input cloud More...
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| class | CorrespondenceEstimationOrganizedProjection |
| | CorrespondenceEstimationOrganizedProjection computes correspondences by projecting the source point cloud onto the target point cloud using the camera intrinsic and extrinsic parameters. More...
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| class | CorrespondenceRejector |
| | CorrespondenceRejector represents the base class for correspondence rejection methods More...
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| class | DataContainerInterface |
| | DataContainerInterface provides a generic interface for computing correspondence scores between correspondent points in the input and target clouds More...
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| class | DataContainer |
| | DataContainer is a container for the input and target point clouds and implements the interface to compute correspondence scores between correspondent points in the input and target clouds More...
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| class | CorrespondenceRejectorDistance |
| | CorrespondenceRejectorDistance implements a simple correspondence rejection method based on thresholding the distances between the correspondences. More...
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| class | CorrespondenceRejectorFeatures |
| | CorrespondenceRejectorFeatures implements a correspondence rejection method based on a set of feature descriptors. More...
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| class | CorrespondenceRejectorMedianDistance |
| | CorrespondenceRejectorMedianDistance implements a simple correspondence rejection method based on thresholding based on the median distance between the correspondences. More...
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| class | CorrespondenceRejectorOneToOne |
| | CorrespondenceRejectorOneToOne implements a correspondence rejection method based on eliminating duplicate match indices in the correspondences. More...
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| class | CorrespondenceRejectionOrganizedBoundary |
| | The CorrespondenceRejectionOrganizedBoundary class implements a simple correspondence rejection measure. More...
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| class | CorrespondenceRejectorPoly |
| | CorrespondenceRejectorPoly implements a correspondence rejection method that exploits low-level and pose-invariant geometric constraints between two point sets by forming virtual polygons of a user-specifiable cardinality on each model using the input correspondences. More...
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| class | CorrespondenceRejectorSampleConsensus |
| | CorrespondenceRejectorSampleConsensus implements a correspondence rejection using Random Sample Consensus to identify inliers (and reject outliers) More...
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| class | CorrespondenceRejectorSampleConsensus2D |
| | CorrespondenceRejectorSampleConsensus2D implements a pixel-based correspondence rejection using Random Sample Consensus to identify inliers (and reject outliers) More...
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| class | CorrespondenceRejectorSurfaceNormal |
| | CorrespondenceRejectorSurfaceNormal implements a simple correspondence rejection method based on the angle between the normals at correspondent points. More...
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| class | CorrespondenceRejectorTrimmed |
| | CorrespondenceRejectorTrimmed implements a correspondence rejection for ICP-like registration algorithms that uses only the best 'k' correspondences where 'k' is some estimate of the overlap between the two point clouds being registered. More...
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| class | CorrespondenceRejectorVarTrimmed |
| | CorrespondenceRejectoVarTrimmed implements a simple correspondence rejection method by considering as inliers a certain percentage of correspondences with the least distances. More...
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| struct | sortCorrespondencesByQueryIndex |
| | sortCorrespondencesByQueryIndex : a functor for sorting correspondences by query index More...
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| struct | sortCorrespondencesByMatchIndex |
| | sortCorrespondencesByMatchIndex : a functor for sorting correspondences by match index More...
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| struct | sortCorrespondencesByDistance |
| | sortCorrespondencesByDistance : a functor for sorting correspondences by distance More...
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| struct | sortCorrespondencesByQueryIndexAndDistance |
| | sortCorrespondencesByQueryIndexAndDistance : a functor for sorting correspondences by query index and distance More...
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| struct | sortCorrespondencesByMatchIndexAndDistance |
| | sortCorrespondencesByMatchIndexAndDistance : a functor for sorting correspondences by match index and distance More...
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| class | DefaultConvergenceCriteria |
| | DefaultConvergenceCriteria represents an instantiation of ConvergenceCriteria, and implements the following criteria for registration loop evaluation: More...
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| struct | NullMeasurement |
| | NullMeasurement struct More...
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| struct | PoseMeasurement |
| | PoseMeasurement struct More...
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| class | ELCH |
| | ELCH (Explicit Loop Closing Heuristic) class More...
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| class | GraphHandler |
| | GraphHandler class is a wrapper for a general SLAM graph The actual graph class must fulfill the following boost::graph concepts: More...
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| class | GraphOptimizer |
| | GraphOptimizer class; derive and specialize for each graph type More...
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| class | FPCSInitialAlignment |
| | FPCSInitialAlignment computes corresponding four point congruent sets as described in: "4-points congruent sets for robust pairwise surface registration", Dror Aiger, Niloy Mitra, Daniel Cohen-Or. More...
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| class | KFPCSInitialAlignment |
| | KFPCSInitialAlignment computes corresponding four point congruent sets based on keypoints as described in: "Markerless point cloud registration with
keypoint-based 4-points congruent sets", Pascal Theiler, Jan Dirk Wegner, Konrad Schindler. More...
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| class | IncrementalRegistration |
| | Incremental IterativeClosestPoint class. More...
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| class | LUM |
| | Globally Consistent Scan Matching based on an algorithm by Lu and Milios. More...
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| struct | MatchingCandidate |
| | Container for matching candidate consisting of. More...
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| struct | by_score |
| | Sorting of candidates based on fitness score value. More...
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| class | MetaRegistration |
| | Meta Registration class. More...
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| class | TransformationEstimation |
| | TransformationEstimation represents the base class for methods for transformation estimation based on: More...
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| class | TransformationEstimation2D |
| | TransformationEstimation2D implements a simple 2D rigid transformation estimation (x, y, theta) for a given pair of datasets. More...
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| class | TransformationEstimation3Point |
| | TransformationEstimation3Points represents the class for transformation estimation based on: More...
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| class | TransformationEstimationDQ |
| | TransformationEstimationDQ implements dual quaternion based estimation of the transformation aligning the given correspondences. More...
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| class | TransformationEstimationDualQuaternion |
| | TransformationEstimationDualQuaternion implements dual quaternion based estimation of the transformation aligning the given correspondences. More...
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| class | TransformationEstimationLM |
| | TransformationEstimationLM implements Levenberg Marquardt-based estimation of the transformation aligning the given correspondences. More...
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| class | TransformationEstimationPointToPlane |
| | TransformationEstimationPointToPlane uses Levenberg Marquardt optimization to find the transformation that minimizes the point-to-plane distance between the given correspondences. More...
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| class | TransformationEstimationPointToPlaneLLS |
| | TransformationEstimationPointToPlaneLLS implements a Linear Least Squares (LLS) approximation for minimizing the point-to-plane distance between two clouds of corresponding points with normals. More...
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| class | TransformationEstimationPointToPlaneLLSWeighted |
| | TransformationEstimationPointToPlaneLLSWeighted implements a Linear Least Squares (LLS) approximation for minimizing the point-to-plane distance between two clouds of corresponding points with normals, with the possibility of assigning weights to the correspondences. More...
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| class | TransformationEstimationPointToPlaneWeighted |
| | TransformationEstimationPointToPlaneWeighted uses Levenberg Marquardt optimization to find the transformation that minimizes the point-to-plane distance between the given correspondences. More...
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| class | TransformationEstimationSVD |
| | TransformationEstimationSVD implements SVD-based estimation of the transformation aligning the given correspondences. More...
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| class | TransformationEstimationSVDScale |
| | TransformationEstimationSVD implements SVD-based estimation of the transformation aligning the given correspondences. More...
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| class | TransformationEstimationSymmetricPointToPlaneLLS |
| | TransformationEstimationSymmetricPointToPlaneLLS implements a Linear Least Squares (LLS) approximation for minimizing the symmetric point-to-plane distance between two clouds of corresponding points with normals. More...
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| class | TransformationValidation |
| | TransformationValidation represents the base class for methods that validate the correctness of a transformation found through TransformationEstimation. More...
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| class | TransformationValidationEuclidean |
| | TransformationValidationEuclidean computes an L2SQR norm between a source and target dataset. More...
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| struct | NullEstimate |
| | NullEstimate struct More...
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| struct | PoseEstimate |
| | PoseEstimate struct More...
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| class | WarpPointRigid |
| | Base warp point class. More...
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| class | WarpPointRigid3D |
| | WarpPointRigid3D enables 3D (1D rotation + 2D translation) transformations for points. More...
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| class | WarpPointRigid6D |
| | WarpPointRigid3D enables 6D (3D rotation + 3D translation) transformations for points. More...
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