Package boofcv.alg.feature.associate

Interface Summary

Interface	Description
AssociateMaxDistance<D>	Two features can only be associated if their distance in image space is less than the specified number.

Class Summary

Class	Description
AssociateGreedy<D>	Brute force greedy association for objects described by a TupleDesc_F64.
AssociateGreedy_MT<D>	Brute force greedy association for objects described by a TupleDesc_F64.
AssociateGreedyBase<D>	Brute force greedy association for objects described by a TupleDesc_F64.
AssociateMaxDistanceNaive<D>	Two features are only considered for association if they are within the specified max distance of each other.
AssociateNearestNeighbor<D>	Matches features using a NearestNeighbor search from DDogleg.
AssociateNearestNeighbor_MT<D>	Parallel associate version of AssociateNearestNeighbor_ST.
AssociateNearestNeighbor_ST<D>	Matches features using a NearestNeighbor search from DDogleg.
AssociateStereo2D<Desc extends TupleDesc>	Association for a stereo pair where the source is the left camera and the destination is the right camera.
AssociateSurfBasic	Basic algorithm for specializing association for SURF features.
AssociateSurfBasic.Helper
AssociateThreeByPairs<Desc>	Associates features in three view with each other by associating each pair of images individually.
AssociateUniqueByScoreAlg	If multiple associations are found for a single source and/or destination feature then this ambiguity is removed by selecting the association with the best score.
BaseAssociateLocation2DFilter<D>	Base class for algorithms which consider all possible associations but perform a quick distance calculation to remove unlikely matches before computing the more expensive fit score between two descriptions.
EnsureUniqueAssociation	Removes any ambiguous associations.
FindUnassociated	Given a list of associated features, find all the unassociated features.
StereoConsistencyCheck	Checks to see if two observations from a left to right stereo camera are consistent.