boofcv.alg.tracker.klt

Interface KltFeatureSelector<InputImage extends boofcv.struct.image.ImageGray,DerivativeImage extends boofcv.struct.image.ImageGray>

public interface KltFeatureSelector<InputImage extends boofcv.struct.image.ImageGray,DerivativeImage extends boofcv.struct.image.ImageGray>

Automatically selects KLT features and creates descriptions of them. There are many different ways to do this for different applications.

Method Summary

Modifier and Type	Method and Description
void	compute(java.util.List<KltFeature> active, java.util.List<KltFeature> availableData) Selects new features using provided data structures.
void	setInputs(InputImage image, DerivativeImage derivX, DerivativeImage derivY) Sets the current image and image derivatives

Method Detail

setInputs

void setInputs(InputImage image,
               DerivativeImage derivX,
               DerivativeImage derivY)

Sets the current image and image derivatives

Parameters:

image - Original image.

derivX - Image derivative along the x-axis.

derivY - Image derivative along the y-axis.

compute

void compute(java.util.List<KltFeature> active,
             java.util.List<KltFeature> availableData)

Selects new features using provided data structures.

Parameters:

active - List of currently active features which should not be returned again.

availableData - List of feature data that can be used to create a new features.