Inheritance diagram for gcvl::opencl::BlockMatching:

Public Member Functions
	BlockMatching (Core &core, std::string inputLeft, std::string inputRight, std::unique_ptr< unsigned char[]> &output)
	~BlockMatching ()
void	setAggDim (const int val)
	Sets the aggregation window dimension.
void	setMaxDisp (const int val)
	Sets the maximum disparity.
void	setNormalize (const bool val)
	Activates or deactivates disparity map normalization.
unsigned int	getWidth ()
	Obtains image width.
unsigned int	getHeight ()
	Obtains image height.
void	prepare ()
	Function that performs pre-processing steps.
void	setArgs ()
	Function that sets the kernel arguments.
void	launch ()
	Launch the algorithm.
void	postpare ()
	Function that performs post-processing steps.

Constructor & Destructor Documentation

gcvl::opencl::BlockMatching::BlockMatching	(	Core &	core,
		std::string	inputLeft,
		std::string	inputRight,
		std::unique_ptr< unsigned char[]> &	output
	)

gcvl::opencl::BlockMatching::~BlockMatching ( )

Member Function Documentation

unsigned int gcvl::opencl::BlockMatching::getHeight ( ) [inline]

Obtains image height.

unsigned int gcvl::opencl::BlockMatching::getWidth ( ) [inline]

Obtains image width.

void gcvl::opencl::BlockMatching::launch ( ) [virtual]

Launch the algorithm.

void gcvl::opencl::BlockMatching::postpare ( ) [virtual]

Function that performs post-processing steps.

void gcvl::opencl::BlockMatching::prepare ( ) [virtual]

Function that performs pre-processing steps.

void gcvl::opencl::BlockMatching::setAggDim ( const int val ) [inline]

Sets the aggregation window dimension.

Parameters:

val	aggregation window dimension in pixels.

void gcvl::opencl::BlockMatching::setArgs ( ) [virtual]

Function that sets the kernel arguments.

void gcvl::opencl::BlockMatching::setMaxDisp ( const int val ) [inline]

Sets the maximum disparity.

Parameters:

val	maximum disparity in pixels.

void gcvl::opencl::BlockMatching::setNormalize ( const bool val ) [inline]

Activates or deactivates disparity map normalization.

Parameters:

val	normalization usage.

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