Jafar: jafar::localizer::PlanLocalizer Class Reference

Class PlanLocalizer This class is able to compute the transformation matrix between two plan (images). More...

Detailed Description

Class PlanLocalizer This class is able to compute the transformation matrix between two plan (images).

It uses either perspective transform or homography computing depending on the number of points.

Definition at line 31 of file planLocalizer.hpp.

Public Member Functions
	PlanLocalizer (const std::vector< cv::Point2f > &_sources, const std::vector< cv::Point2f > &_matches)
	PlanLocalizer (const std::vector< jblas::vec2 > &_sources, const std::vector< jblas::vec2 > &_matches)
void	addPair (const cv::Point2f &_src, const cv::Point2f &_ref)
void	addPair (const jblas::vec2 &_src, const jblas::vec2 &_ref)
void	addPair (const float &u_src, const float &v_src, const float &u_ref, const float &v_ref)
cv::Mat	getHomographyMatrix (int method=CV_RANSAC, size_t requiredMatch=8, int ransacReprojThreshold=3, double validityThreshold=0.)
	use RANSAC or LMEDS to find the homography matrix
jblas::mat33	homography () const
Private Member Functions
bool	isValidHomography (const cv::Mat &homography, const double &thresholdForDeterminant)
	checks if the given matrix is a valid homography note that 0 threshold always return true
Private Attributes
std::vector< cv::Point2f >	sources
	source image points
std::vector< cv::Point2f >	matches
	matching points in the second image
std::vector< uchar >	status
	usiness status of points
jblas::mat33	m_homography
	homography matrix
double	validityThreshold

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