Package boofcv.alg.feature.associate
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Interface Summary Interface Description AssociateImageDistanceFunction Computes the distance between two points.AssociateMaxDistance<D> Two features can only be associated if their distance in image space is less than the specified number. -
Class Summary Class Description AssociateGreedyBase<D> Performs association by greedily assigning matches to the src list from the dst list if they minimize a score function.AssociateGreedyBase2D<D> Base class for associating image features using descriptions and 2D distance cropping.AssociateGreedyBruteForce2D<D> Greedily assigns two features to each other based on their scores while pruning features based on their distance apart.AssociateGreedyBruteForce2D_MT<D> Greedily assigns two features to each other based on their scores while pruning features based on their distance apart.AssociateGreedyDesc<D> Brute force greedy association for objects described by aTupleDesc_F64
.AssociateGreedyDesc_MT<D> Brute force greedy association for objects described by aTupleDesc_F64
.AssociateGreedyDescBase<D> Greedy association for matching descriptorsAssociateImageDistanceEuclideanSq Computes the Euclidean distance squared between two points for associationAssociateNearestNeighbor<D> Matches features using aNearestNeighbor
search from DDogleg.AssociateNearestNeighbor_MT<D> Parallel associate version ofAssociateNearestNeighbor_ST
.AssociateNearestNeighbor_ST<D> Matches features using aNearestNeighbor
search from DDogleg.AssociateStereo2D<Desc extends TupleDesc<Desc>> Association for a stereo pair where the source is the left camera and the destination is the right camera.AssociateThreeByPairs<TD extends TupleDesc<TD>> 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.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.