This class can be used for imposing a learned prior on the resulting optical flow. Solution will be regularized according to this prior. You need to generate appropriate prior file with "learn_prior.py" script beforehand. More...

#include "pcaflow.hpp"

Public Member Functions
	PCAPrior (const char *pathToPrior)

void	fillConstraints (float A1, float A2, float b1, float b2) const

int	getBasisSize () const

int	getPadding () const

Detailed Description

This class can be used for imposing a learned prior on the resulting optical flow. Solution will be regularized according to this prior. You need to generate appropriate prior file with "learn_prior.py" script beforehand.

Constructor & Destructor Documentation

§ PCAPrior()

cv::optflow::PCAPrior::PCAPrior ( const char * pathToPrior )

Member Function Documentation

§ fillConstraints()

void cv::optflow::PCAPrior::fillConstraints	(	float *	A1,
		float *	A2,
		float *	b1,
		float *	b2
	)		const

§ getBasisSize()

int cv::optflow::PCAPrior::getBasisSize ( ) const

inline

§ getPadding()

int cv::optflow::PCAPrior::getPadding ( ) const