Package boofcv.alg.scene.nister2006

Class TupleMapDistanceNorm.L2

java.lang.Object

boofcv.alg.scene.nister2006.TupleMapDistanceNorm.L2

All Implemented Interfaces:

TupleMapDistanceNorm

Enclosing interface:

TupleMapDistanceNorm

public static class TupleMapDistanceNorm.L2
extends Object
implements TupleMapDistanceNorm

L2-norm for scoring

Nested Class Summary

Nested classes/interfaces inherited from interface boofcv.alg.scene.nister2006.TupleMapDistanceNorm

TupleMapDistanceNorm.L1, TupleMapDistanceNorm.L2, TupleMapDistanceNorm.Types

Constructor Summary

Constructors

Constructor	Description
L2()

Method Summary

Modifier and Type	Method	Description
float	distanceUpdate(float valA, float valB)	Incremental update to the distance.
TupleMapDistanceNorm	newInstanceThread()	Create a new instance that is thread safe, i.e.
void	normalize(DogArray_F32 weights)	Normalizes the descriptor.

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Details

L2

public L2()

Method Details

normalize

public void normalize(DogArray_F32 weights)

Description copied from interface: TupleMapDistanceNorm

Normalizes the descriptor. Computes the norm then divides each element by the norm.

Specified by:

normalize in interface TupleMapDistanceNorm

distanceUpdate

public float distanceUpdate(float valA,
 float valB)

Description copied from interface: TupleMapDistanceNorm

Incremental update to the distance. Initially the distance is set to 2.0, then for every word that is present in both descriptors add this value to it. This only works for a subclass of normalizations. See [1] for details.

Specified by:

distanceUpdate in interface TupleMapDistanceNorm

newInstanceThread

public TupleMapDistanceNorm newInstanceThread()

Description copied from interface: TupleMapDistanceNorm

Create a new instance that is thread safe, i.e. read only settings can be shared

Specified by:

newInstanceThread in interface TupleMapDistanceNorm