cv::detail::BundleAdjusterAffinePartial Class Reference

Bundle adjuster that expects affine transformation with 4 DOF represented in homogeneous coordinates in R for each camera param. Implements camera parameters refinement algorithm which minimizes sum of the reprojection error squares. More...

#include <opencv2/stitching/detail/motion_estimators.hpp>

Collaboration diagram for cv::detail::BundleAdjusterAffinePartial:

Public Member Functions
	BundleAdjusterAffinePartial ()
Public Member Functions inherited from cv::detail::BundleAdjusterBase
double	confThresh () const
Mat	refinementMask () const
void	setConfThresh (double conf_thresh)
void	setRefinementMask (const Mat &mask)
void	setTermCriteria (const TermCriteria &term_criteria)
TermCriteria	termCriteria ()
Public Member Functions inherited from cv::detail::Estimator
virtual	~Estimator ()
bool	operator() (const std::vector< ImageFeatures > &features, const std::vector< MatchesInfo > &pairwise_matches, std::vector< CameraParams > &cameras)
	Estimates camera parameters.

Additional Inherited Members
Protected Member Functions inherited from cv::detail::BundleAdjusterBase
	BundleAdjusterBase (int num_params_per_cam, int num_errs_per_measurement)
	Construct a bundle adjuster base instance.
virtual bool	estimate (const std::vector< ImageFeatures > &features, const std::vector< MatchesInfo > &pairwise_matches, std::vector< CameraParams > &cameras) CV_OVERRIDE
	This method must implement camera parameters estimation logic in order to make the wrapper detail::Estimator::operator()_ work.
Protected Member Functions inherited from cv::detail::Estimator
Protected Attributes inherited from cv::detail::BundleAdjusterBase
Mat	cam_params_
double	conf_thresh_
std::vector< std::pair< int, int > >	edges_
const ImageFeatures *	features_
int	num_errs_per_measurement_
int	num_images_
int	num_params_per_cam_
const MatchesInfo *	pairwise_matches_
Mat	refinement_mask_
TermCriteria	term_criteria_
int	total_num_matches_

Detailed Description

Bundle adjuster that expects affine transformation with 4 DOF represented in homogeneous coordinates in R for each camera param. Implements camera parameters refinement algorithm which minimizes sum of the reprojection error squares.

It estimates all transformation parameters. Refinement mask is ignored.

See also

AffineBasedEstimator AffineBestOf2NearestMatcher BundleAdjusterAffine

Constructor & Destructor Documentation

BundleAdjusterAffinePartial()

cv::detail::BundleAdjusterAffinePartial::BundleAdjusterAffinePartial ( )

inline

Python:
	cv.detail.BundleAdjusterAffinePartial(		) ->	<detail_BundleAdjusterAffinePartial object>

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

• opencv2/stitching/detail/motion_estimators.hpp