boofcv.abst.feature.disparity

Class WrapDisparitySparseSadRect<ArrayData,T extends ImageGray>

java.lang.Object

boofcv.abst.feature.disparity.WrapDisparitySparseSadRect<ArrayData,T>

All Implemented Interfaces:

StereoDisparitySparse<T>

public class WrapDisparitySparseSadRect<ArrayData,T extends ImageGray>
extends java.lang.Object
implements StereoDisparitySparse<T>

Constructor Summary

Constructors

Constructor and Description
WrapDisparitySparseSadRect(DisparitySparseScoreSadRect<ArrayData,T> computeScore, DisparitySparseSelect<ArrayData> select)

Method Summary

Modifier and Type	Method and Description
int	getBorderX() Border around the image's x-axis which is not processed.
int	getBorderY() Border around the image's y-axis which is not processed.
double	getDisparity() The found disparity at the selected point
java.lang.Class<T>	getInputType() Type of input images it can process
int	getMaxDisparity() The maximum disparity which will be checked for.
int	getMinDisparity() The minimum disparity which will be checked for.
boolean	process(int x, int y) Calculates the disparity at the specified point.
void	setImages(T imageLeft, T imageRight) Sets the input images that are to be processed.

Methods inherited from class java.lang.Object

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

Constructor Detail

WrapDisparitySparseSadRect

public WrapDisparitySparseSadRect(DisparitySparseScoreSadRect<ArrayData,T> computeScore,
                                  DisparitySparseSelect<ArrayData> select)

Method Detail

setImages

public void setImages(T imageLeft,
                      T imageRight)

Description copied from interface: StereoDisparitySparse

Sets the input images that are to be processed.

Specified by:

setImages in interface StereoDisparitySparse<T extends ImageGray>

Parameters:

imageLeft - Input left rectified image.

imageRight - Input right rectified image.

getDisparity

public double getDisparity()

Description copied from interface: StereoDisparitySparse

The found disparity at the selected point

Specified by:

getDisparity in interface StereoDisparitySparse<T extends ImageGray>

Returns:

disparity.

process

public boolean process(int x,
                       int y)

Description copied from interface: StereoDisparitySparse

Calculates the disparity at the specified point. Returns true if a valid correspondence was found between the two images.

Specified by:

process in interface StereoDisparitySparse<T extends ImageGray>

Parameters:

x - center of region x-axis

y - center of region y-axis

Returns:

true if a correspondence was found

getBorderX

public int getBorderX()

Description copied from interface: StereoDisparitySparse

Border around the image's x-axis which is not processed.

Specified by:

getBorderX in interface StereoDisparitySparse<T extends ImageGray>

Returns:

border x-axis

getBorderY

public int getBorderY()

Description copied from interface: StereoDisparitySparse

Border around the image's y-axis which is not processed.

Specified by:

getBorderY in interface StereoDisparitySparse<T extends ImageGray>

Returns:

border y-axis

getMinDisparity

public int getMinDisparity()

Description copied from interface: StereoDisparitySparse

The minimum disparity which will be checked for.

Specified by:

getMinDisparity in interface StereoDisparitySparse<T extends ImageGray>

Returns:

Minimum disparity.

getMaxDisparity

public int getMaxDisparity()

Description copied from interface: StereoDisparitySparse

The maximum disparity which will be checked for.

Specified by:

getMaxDisparity in interface StereoDisparitySparse<T extends ImageGray>

Returns:

Maximum disparity.

getInputType

public java.lang.Class<T> getInputType()

Description copied from interface: StereoDisparitySparse

Type of input images it can process

Specified by:

getInputType in interface StereoDisparitySparse<T extends ImageGray>

Returns:

Input image type