Package boofcv.abst.feature.associate
package boofcv.abst.feature.associate
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ClassDescriptionDefault implementations for all functions in
AssociateDescription2D
Associate<Desc>Common interface for associating features between two images.AssociateDescription<Desc>Generalized interface for associating features.AssociateDescription2D<Desc>Associates features from two images together using both 2D location and descriptor information.Provides default implementations for all functions.Provides default implementations for all functions.Feature set aware association algorithm.Feature set aware association algorithm for use when there is a large sparse set of unique set ID's.Feature set aware association algorithm that takes in account image location.Wrapper aroundAssociateDescription
that allows it to be used inside ofAssociateDescription2D
Common interface for associating features between three images.Base class for set aware feature associationBaseAssociateSets<Desc>Base class for set aware feature associationEnforceUniqueByScore<Desc,A extends Associate<Desc>> Ensures that the source and/or destination features are uniquely associated by resolving ambiguity using association score and preferring matches with better scores.Implementation ofEnforceUniqueByScore
forAssociateDescription
.Implementation ofEnforceUniqueByScore
forAssociateDescription2D
.Scores two possible associations usingDescriptorDistance.correlation(boofcv.struct.feature.TupleDesc_F64, boofcv.struct.feature.TupleDesc_F64)
.Scores based on Euclidean distanceScores based on Euclidean distance squaredScore association between two BRIEF features.Association scorer for NccFeatures.ScoreAssociateSad<Desc>Scores association using Sum-of-Absolute-Difference error metric.ScoreAssociation<Desc>Scores the fit quality between two feature descriptions.Wrapper around algorithms contained inside ofAssociateGreedyDesc
.Wrapper around ofAssociateGreedyBase2D
forAssociateDescription2D