cv::gpu::StereoBeliefPropagation Class Reference

#include <gpu.hpp>

Public Types
enum	{ DEFAULT_NDISP = 64 }
enum	{ DEFAULT_ITERS = 5 }
enum	{ DEFAULT_LEVELS = 5 }

Public Member Functions
	StereoBeliefPropagation (int ndisp=DEFAULT_NDISP, int iters=DEFAULT_ITERS, int levels=DEFAULT_LEVELS, int msg_type=CV_32F)
	the default constructor More...
	StereoBeliefPropagation (int ndisp, int iters, int levels, float max_data_term, float data_weight, float max_disc_term, float disc_single_jump, int msg_type=CV_32F)
void	operator() (const GpuMat &left, const GpuMat &right, GpuMat &disparity, Stream &stream=Stream::Null())
void	operator() (const GpuMat &data, GpuMat &disparity, Stream &stream=Stream::Null())
	version for user specified data term More...

Static Public Member Functions
static void	estimateRecommendedParams (int width, int height, int &ndisp, int &iters, int &levels)

Public Attributes
int	ndisp
int	iters
int	levels
float	max_data_term
float	data_weight
float	max_disc_term
float	disc_single_jump
int	msg_type

Member Enumeration Documentation

anonymous enum

anonymous enum

Enumerator
DEFAULT_NDISP

anonymous enum

anonymous enum

Enumerator
DEFAULT_ITERS

anonymous enum

anonymous enum

Enumerator
DEFAULT_LEVELS

Constructor & Destructor Documentation

StereoBeliefPropagation() [1/2]

cv::gpu::StereoBeliefPropagation::StereoBeliefPropagation ( int  ndisp = DEFAULT_NDISP, int  iters = DEFAULT_ITERS, int  levels = DEFAULT_LEVELS, int  msg_type = CV_32F  )

explicit

the default constructor

StereoBeliefPropagation() [2/2]

cv::gpu::StereoBeliefPropagation::StereoBeliefPropagation	(	int	ndisp,
		int	iters,
		int	levels,
		float	max_data_term,
		float	data_weight,
		float	max_disc_term,
		float	disc_single_jump,
		int	msg_type = CV_32F
	)

the full constructor taking the number of disparities, number of BP iterations on each level, number of levels, truncation of data cost, data weight, truncation of discontinuity cost and discontinuity single jump DataTerm = data_weight * min(fabs(I2-I1), max_data_term) DiscTerm = min(disc_single_jump * fabs(f1-f2), max_disc_term) please see paper for more details

Member Function Documentation

estimateRecommendedParams()

static void cv::gpu::StereoBeliefPropagation::estimateRecommendedParams ( int  width, int  height, int &  ndisp, int &  iters, int &  levels  )

static

operator()() [1/2]

void cv::gpu::StereoBeliefPropagation::operator()	(	const GpuMat &	left,
		const GpuMat &	right,
		GpuMat &	disparity,
		Stream &	stream = Stream::Null()
	)

the stereo correspondence operator. Finds the disparity for the specified rectified stereo pair, if disparity is empty output type will be CV_16S else output type will be disparity.type().

operator()() [2/2]

void cv::gpu::StereoBeliefPropagation::operator()	(	const GpuMat &	data,
		GpuMat &	disparity,
		Stream &	stream = Stream::Null()
	)

version for user specified data term

Member Data Documentation

data_weight

float cv::gpu::StereoBeliefPropagation::data_weight

disc_single_jump

float cv::gpu::StereoBeliefPropagation::disc_single_jump

iters

int cv::gpu::StereoBeliefPropagation::iters

levels

int cv::gpu::StereoBeliefPropagation::levels

max_data_term

float cv::gpu::StereoBeliefPropagation::max_data_term

max_disc_term

float cv::gpu::StereoBeliefPropagation::max_disc_term

msg_type

int cv::gpu::StereoBeliefPropagation::msg_type

ndisp

int cv::gpu::StereoBeliefPropagation::ndisp

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

• gpu/include/opencv2/gpu/gpu.hpp