Package boofcv.alg.disparity.block.select

Class SelectSparseErrorBasicWta_F32

java.lang.Object

boofcv.alg.disparity.block.select.SelectSparseErrorBasicWta_F32

All Implemented Interfaces:

DisparitySparseSelect<float[]>

public class SelectSparseErrorBasicWta_F32
extends Object
implements DisparitySparseSelect<float[]>

Selects the disparity with the lowest score with no additional validation. Lack of validation speeds up the code at the cost of reduced signal to noise ratio. This strategy of selecting the lowest score is also known as Winner Take All (WTA).

Constructor Summary

Constructors

Constructor	Description
SelectSparseErrorBasicWta_F32()

Method Summary

Modifier and Type	Method	Description
double	getDisparity()	Returns the found disparity
boolean	select(DisparitySparseRectifiedScoreBM<float[],?> scorer, int x, int y)	Examines disparity scores and looks for the best correspondence.

Methods inherited from class java.lang.Object

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

Constructor Details

SelectSparseErrorBasicWta_F32

public SelectSparseErrorBasicWta_F32()

Method Details

select

public boolean select(DisparitySparseRectifiedScoreBM<float[],?> scorer,
 int x,
 int y)

Description copied from interface: DisparitySparseSelect

Examines disparity scores and looks for the best correspondence. If no correspondence can be found then false is returned.

Specified by:

select in interface DisparitySparseSelect<float[]>

Parameters:

scorer - Computes the disparity score

x - Pixel coordinate x-axis

y - Pixel coordinate y-axis

Returns:

true if a valid correspondence was found

getDisparity

public double getDisparity()

Description copied from interface: DisparitySparseSelect

Returns the found disparity

Specified by:

getDisparity in interface DisparitySparseSelect<float[]>

Returns:

disparity