QVKLTTracker Class Reference
[GPU-KLT+FLOW wrapper functions and classes]

Wrapper class to perform image feature tracking with the GPU-KLT library. More...

#include <QVKLTTracker>

Public Member Functions
	QVKLTTracker ()
	Default constructor Do nothing.
	QVKLTTracker (int width, int height, bool trackWithGain=true, int featuresWidth=64, int featuresHeight=64, int nIterations=10, int nLevels=4, int levelSkip=1, int windowWidth=7, float trackBorderMargin=20.0f, float detectBorderMargin=20.0f, float convergenceThreshold=0.1f, float SSD_Threshold=5000.0f, int minDistance=7, float minCornerness=50.0f)
	Allocation constructor.
	~QVKLTTracker ()
	Deallocate the tracker from the GPU.
void	detect (const QVImage< uChar, 1 > &image, QHash< int, QVKLTTrackerFeature > &features)
	Detect all features in image from scratch.
void	redetect (const QVImage< uChar, 1 > &image, QHash< int, QVKLTTrackerFeature > &features)
	Detect new features while respecting old ones.
void	track (const QVImage< uChar, 1 > &image, QHash< int, QVKLTTrackerFeature > &features)
	Track features in the hash.

Detailed Description

Wrapper class to perform image feature tracking with the GPU-KLT library.

Definition at line 77 of file qvklttracker.h.

QVKLTTracker::QVKLTTracker ( ) [inline]

Default constructor Do nothing.

Definition at line 84 of file qvklttracker.h.

Allocation constructor.

This method initializes and configures a new tracker with parameters below.

Parameters:

	width	Number of cols of the images.
	height	Number of rows of the images.
	trackWithGain	Wether the tracker uses the gain in the tracking method or not.
	featuresWidth	featuresWidth*featuresHeight gives the maximum number of features to track.
	featuresHeight	featuresWidth*featuresHeight gives the maximum number of features to track.
	nIterations	Number of iterations.
	nLevels	Number of pyramid levels to skip. Reasonable values are 1 (all levels) and nLevels-1 (2 levels only)
	levelSkip	Number of pyramid levels to skip.
	windowWidth	Size of KLT window.
	trackBorderMargin	Size of the border image margin when tracking.
	detectBorderMargin	Size of the border image margin when redetecting.
	convergenceThreshold	Convergence threshold for KLT.
	SSD_Threshold	SSD threshold for KLT.
	minDistance	Minimum distance among tracked features.
	minConnerness	Minimum degree of cornerness for detecting new features.

Definition at line 27 of file qvklttracker.cpp.

QVKLTTracker::~QVKLTTracker ( )

Deallocate the tracker from the GPU.

Definition at line 58 of file qvklttracker.cpp.

void QVKLTTracker::detect	(	const QVImage< uChar, 1 > &	image,
		QHash< int, QVKLTTrackerFeature > &	features
	)

Detect all features in image from scratch.

This method builds a hash with freshly detected features.

Parameters:

	image	Input image.
	features	Pointer to created hash.

Definition at line 100 of file qvklttracker.cpp.

void QVKLTTracker::redetect	(	const QVImage< uChar, 1 > &	image,
		QHash< int, QVKLTTrackerFeature > &	features
	)

Detect new features while respecting old ones.

This method updates the feature hash with new features while respecting old ones.

Parameters:

	image	Input image.
	features	Pointer to hash that will be updated.

Definition at line 110 of file qvklttracker.cpp.

void QVKLTTracker::track	(	const QVImage< uChar, 1 > &	image,
		QHash< int, QVKLTTrackerFeature > &	features
	)

Track features in the hash.

This method updates the hash with the new positions of the features, deleting the lost ones.

Parameters:

	image	Input image
	features	Pointer to hash that will be updated.

Definition at line 120 of file qvklttracker.cpp.

The documentation for this class was generated from the following files: