Uses of Interface
boofcv.abst.feature.associate.ScoreAssociation

Packages that use ScoreAssociation

Package	Description
boofcv.abst.feature.associate
boofcv.alg.feature.associate
boofcv.factory.feature.associate

Uses of ScoreAssociation in boofcv.abst.feature.associate

Classes in boofcv.abst.feature.associate that implement ScoreAssociation

Modifier and Type	Class and Description
class	ScoreAssociateCorrelation Scores two possible associations using DescriptorDistance.correlation(boofcv.struct.feature.TupleDesc_F64, boofcv.struct.feature.TupleDesc_F64).
class	ScoreAssociateEuclidean_F64 Scores based on Euclidean distance
class	ScoreAssociateEuclideanSq_F32 Scores based on Euclidean distance squared
class	ScoreAssociateEuclideanSq_F64 Scores based on Euclidean distance squared
class	ScoreAssociateHamming_B Score association between two BRIEF features.
class	ScoreAssociateNccFeature Association scorer for NccFeatures.
class	ScoreAssociateSad_F32 Computes sum of absolute difference (SAD) score for TupleDesc_F32.
class	ScoreAssociateSad_F64 Computes sum of absolute difference (SAD) score for TupleDesc_F64.
class	ScoreAssociateSad_S8 Computes sum of absolute difference (SAD) score for TupleDesc_U8.
class	ScoreAssociateSad_U8 Computes sum of absolute difference (SAD) score for TupleDesc_U8.

Uses of ScoreAssociation in boofcv.alg.feature.associate

Methods in boofcv.alg.feature.associate that return ScoreAssociation

Modifier and Type	Method and Description
ScoreAssociation<D>	AssociateGreedy.getScore()

Constructors in boofcv.alg.feature.associate with parameters of type ScoreAssociation

Constructor and Description
AssociateGreedy(ScoreAssociation<D> score, boolean backwardsValidation) Configure association
AssociateMaxDistanceNaive(ScoreAssociation<D> scoreAssociation, boolean backwardsValidation, double maxError) Specifies score mechanism
AssociateMaxDistanceNaive(ScoreAssociation<D> scoreAssociation, boolean backwardsValidation, double maxError, double maxDistance)
BaseAssociateLocation2DFilter(ScoreAssociation<D> scoreAssociation, boolean backwardsValidation, double maxError) Specifies score mechanism

Uses of ScoreAssociation in boofcv.factory.feature.associate

Methods in boofcv.factory.feature.associate that return ScoreAssociation

Modifier and Type	Method and Description
static <D> ScoreAssociation<D>	FactoryAssociation.defaultScore(Class<D> tupleType) Given a feature descriptor type it returns a "reasonable" default ScoreAssociation.
static <D> ScoreAssociation<D>	FactoryAssociation.scoreEuclidean(Class<D> tupleType, boolean squared) Scores features based on the Euclidean distance between them.
static <D> ScoreAssociation<D>	FactoryAssociation.scoreHamming(Class<D> tupleType) Hamming distance between two binary descriptors.
static ScoreAssociation<NccFeature>	FactoryAssociation.scoreNcc() Scores features based on their Normalized Cross-Correlation (NCC).
static <D> ScoreAssociation<D>	FactoryAssociation.scoreSad(Class<D> tupleType) Scores features based on Sum of Absolute Difference (SAD).

Methods in boofcv.factory.feature.associate with parameters of type ScoreAssociation

Modifier and Type	Method and Description
static <D> AssociateDescription<D>	FactoryAssociation.greedy(ScoreAssociation<D> score, double maxError, boolean backwardsValidation) Returns an algorithm for associating features together which uses a brute force greedy algorithm.