class: ConfigAssociateGreedy

[263:7] extends: object

ConfigAssociateGreedy wraps boofcv.factory.feature.associate.ConfigAssociateGreedy.

Members

• obj

Methods

• ConfigAssociateGreedy (Obj = null)

  Creates or wraps a greedy association config.

  • @p Obj is an existing config Java object or null to create a default config.

• get (string Name)

  Gets a public config field.

  • @p Name is forwardsBackwards, scoreRatioThreshold, or maxErrorThreshold.
  • @r The field value.

• set (string Name, Value)

  Sets a public config field.

  • @p Name is forwardsBackwards, scoreRatioThreshold, or maxErrorThreshold.
  • @p Value is the new field value.

• checkValidity ()

  Validates this config.

class: AssociateDescription

[132:7] extends: object

AssociateDescription wraps boofcv.abst.feature.associate.AssociateDescription.

Members

• obj

Methods

• AssociateDescription (object Obj)

  Wraps a BoofCV AssociateDescription.

  • @p Obj is an existing associate Java object or wrapper.

• setSource (object List)

  Sets source descriptors.

  • @p List is a FastAccess descriptor list.

• setDestination (object List)

  Sets destination descriptors.

  • @p List is a FastAccess descriptor list.

• associate ()

  Runs association.

• getMatches ()

  Gets matches.

  • @r A FastAccess of AssociatedIndex objects.

• getUnassociatedSource ()

  Gets unassociated source indexes.

  • @r A DogArray_I32 Java object.

• getUnassociatedDestination ()

  Gets unassociated destination indexes.

  • @r A DogArray_I32 Java object.

• setMaxScoreThreshold (Score)

  Sets the maximum score threshold.

  • @p Score is the maximum accepted score.

• getScoreType ()

  Gets the score type.

  • @r A MatchScoreType enum Java object.

• uniqueSource ()

  Gets whether source descriptors are unique in matches.

  • @r True if unique.

• uniqueDestination ()

  Gets whether destination descriptors are unique in matches.

  • @r True if unique.

• getDescriptionType ()

  Gets the descriptor type.

  • @r A Java Class object.

class: ConfigAssociate

[227:7] extends: object

ConfigAssociate wraps boofcv.factory.feature.associate.ConfigAssociate.

Members

• obj

Methods

• ConfigAssociate (Obj = null)

  Creates or wraps an association config.

  • @p Obj is an existing config Java object or null to create a default config.

• get (string Name)

  Gets a public config field.

  • @p Name is type, greedy, nearestNeighbor, or maximumDistancePixels.
  • @r The field value.

• set (string Name, Value)

  Sets a public config field.

  • @p Name is type, greedy, nearestNeighbor, or maximumDistancePixels.
  • @p Value is the new field value.

• checkValidity ()

  Validates this config.

• copy ()

  Copies this config.

  • @r A copied ConfigAssociate wrapper.

class: ScoreAssociation

[198:7] extends: object

ScoreAssociation wraps boofcv.abst.feature.associate.ScoreAssociation.

Members

• obj

Methods

• ScoreAssociation (object Obj)

  Wraps a BoofCV ScoreAssociation.

  • @p Obj is an existing score Java object or wrapper.

• score (object Source, object Destination)

  Scores two descriptors.

  • @p Source is a descriptor Java object.
  • @p Destination is a descriptor Java object.
  • @r The score.

• getScoreType ()

  Gets the score type.

  • @r A MatchScoreType enum Java object.

• getDescriptorType ()

  Gets the descriptor type.

  • @r A Java Class object.

class: ConfigAssociateNearestNeighbor

[294:7] extends: object

ConfigAssociateNearestNeighbor wraps boofcv.factory.feature.associate.ConfigAssociateNearestNeighbor.

Members

• obj

Methods

• ConfigAssociateNearestNeighbor (Obj = null)

  Creates or wraps a nearest-neighbor association config.

  • @p Obj is an existing config Java object or null to create a default config.

• get (string Name)

  Gets a public config field.

  • @p Name is distanceIsSquared, scoreRatioThreshold, maxErrorThreshold, or maxNodesSearched.
  • @r The field value.

• set (string Name, Value)

  Sets a public config field.

  • @p Name is distanceIsSquared, scoreRatioThreshold, maxErrorThreshold, or maxNodesSearched.
  • @p Value is the new field value.

• checkValidity ()

  Validates this config.

class: FactoryAssociation

[6:14] static extends: object

Static wrappers for boofcv.factory.feature.associate.FactoryAssociation.

Methods

• generic (object Config, object DescriptorInfo)

  Creates a generic association algorithm.

  • @p Config is a ConfigAssociate wrapper.
  • @p DescriptorInfo is a descriptor info Java object or wrapper.
  • @r An AssociateDescription wrapper.

• ensureUnique (object Associate)

  Ensures a one-to-one association from an existing association algorithm.

  • @p Associate is an AssociateDescription wrapper.
  • @r An AssociateDescription wrapper.

• greedy (object Config, object Score)

  Creates a greedy association algorithm.

  • @p Config is a ConfigAssociateGreedy wrapper.
  • @p Score is a ScoreAssociation wrapper.
  • @r An AssociateDescription wrapper.

• kdtree (object Config, int TupleLength)

  Creates a KD-tree association algorithm for TupleDesc_F64 descriptors.

  • @p Config is a ConfigAssociateNearestNeighbor wrapper.
  • @p TupleLength is the descriptor tuple length.
  • @r An AssociateDescription wrapper.

• kdRandomForest (object Config, int TupleLength, int MaxNodesSearched, int NumTrees, int Seed)

  Creates a random-forest KD-tree association algorithm for TupleDesc_F64 descriptors.

  • @p Config is a ConfigAssociateNearestNeighbor wrapper.
  • @p TupleLength is the descriptor tuple length.
  • @p MaxNodesSearched is the maximum searched nodes.
  • @p NumTrees is the number of trees.
  • @p Seed is the random seed.
  • @r An AssociateDescription wrapper.

• defaultScore (string DescriptorClassName)

  Creates BoofCV's default score for a descriptor class.

  • @p DescriptorClassName is a descriptor class name such as boofcv.struct.feature.TupleDesc_F64, boofcv.struct.feature.TupleDesc_B, or boofcv.struct.feature.NccFeature.
  • @r A ScoreAssociation wrapper.

• scoreSad (string DescriptorClassName)

  Creates a sum-of-absolute-difference score for a descriptor class.

  • @p DescriptorClassName is a descriptor class name such as boofcv.struct.feature.TupleDesc_F64.
  • @r A ScoreAssociation wrapper.

• scoreNcc ()

  Creates an NCC score.

  • @r A ScoreAssociation wrapper for NccFeature descriptors.

• scoreEuclidean (string DescriptorClassName, bool Normalize)

  Creates a Euclidean score for a descriptor class.

  • @p DescriptorClassName is a descriptor class name such as boofcv.struct.feature.TupleDesc_F64.
  • @p Normalize true normalizes the score.
  • @r A ScoreAssociation wrapper.

• scoreHamming (string DescriptorClassName)

  Creates a Hamming score for a descriptor class.

  • @p DescriptorClassName is a descriptor class name such as boofcv.struct.feature.TupleDesc_B.
  • @r A ScoreAssociation wrapper.