Features matcher similar to cv::detail::BestOf2NearestMatcher which finds two best matches for each feature and leaves the best one only if the ratio between descriptor distances is greater than the threshold match_conf. More...

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

Collaboration diagram for cv::detail::AffineBestOf2NearestMatcher:

Public Member Functions
	AffineBestOf2NearestMatcher (bool full_affine=false, bool try_use_gpu=false, float match_conf=0.3f, int num_matches_thresh1=6)
	Constructs a "best of 2 nearest" matcher that expects affine transformation between images.

Public Member Functions inherited from cv::detail::BestOf2NearestMatcher
	BestOf2NearestMatcher (bool try_use_gpu=false, float match_conf=0.3f, int num_matches_thresh1=6, int num_matches_thresh2=6, double matches_confidence_thresh=3.)
	Constructs a "best of 2 nearest" matcher.

void	collectGarbage () CV_OVERRIDE
	Frees unused memory allocated before if there is any.

Public Member Functions inherited from cv::detail::FeaturesMatcher
virtual	~FeaturesMatcher ()

bool	isThreadSafe () const

void	operator() (const ImageFeatures &features1, const ImageFeatures &features2, MatchesInfo &matches_info)

void	operator() (const std::vector< ImageFeatures > &features, std::vector< MatchesInfo > &pairwise_matches, const cv::UMat &mask=cv::UMat())
	Performs images matching.

Protected Member Functions
void	match (const ImageFeatures &features1, const ImageFeatures &features2, MatchesInfo &matches_info) CV_OVERRIDE
	This method must implement matching logic in order to make the wrappers detail::FeaturesMatcher::operator()_ work.

Protected Member Functions inherited from cv::detail::BestOf2NearestMatcher
void	match (const ImageFeatures &features1, const ImageFeatures &features2, MatchesInfo &matches_info) CV_OVERRIDE
	This method must implement matching logic in order to make the wrappers detail::FeaturesMatcher::operator()_ work.

Protected Member Functions inherited from cv::detail::FeaturesMatcher
	FeaturesMatcher (bool is_thread_safe=false)

virtual void	match (const std::vector< ImageFeatures > &features, std::vector< MatchesInfo > &pairwise_matches, const cv::UMat &mask=cv::UMat())
	This method implements logic to match features between arbitrary number of features. By default this checks every pair of inputs in the input, but the behaviour can be changed by subclasses.

Protected Attributes
bool	full_affine_

Protected Attributes inherited from cv::detail::BestOf2NearestMatcher
Ptr< FeaturesMatcher >	impl_

double	matches_confidence_thresh_

int	num_matches_thresh1_

int	num_matches_thresh2_

Protected Attributes inherited from cv::detail::FeaturesMatcher
bool	is_thread_safe_

Additional Inherited Members
Static Public Member Functions inherited from cv::detail::BestOf2NearestMatcher
static Ptr< BestOf2NearestMatcher >	create (bool try_use_gpu=false, float match_conf=0.3f, int num_matches_thresh1=6, int num_matches_thresh2=6, double matches_confidence_thresh=3.)

Detailed Description

Features matcher similar to cv::detail::BestOf2NearestMatcher which finds two best matches for each feature and leaves the best one only if the ratio between descriptor distances is greater than the threshold match_conf.

Unlike cv::detail::BestOf2NearestMatcher this matcher uses affine transformation (affine transformation estimate will be placed in matches_info).

See also: cv::detail::FeaturesMatcher cv::detail::BestOf2NearestMatcher

Constructor & Destructor Documentation

◆ AffineBestOf2NearestMatcher()

cv::detail::AffineBestOf2NearestMatcher::AffineBestOf2NearestMatcher	(	bool	full_affine = `false`,
		bool	try_use_gpu = `false`,
		float	match_conf = `0.3f`,
		int	num_matches_thresh1 = `6`
	)

inline

Python:
	cv.detail.AffineBestOf2NearestMatcher(	[, full_affine[, try_use_gpu[, match_conf[, num_matches_thresh1]]]]	) ->	<detail_AffineBestOf2NearestMatcher object>

Constructs a "best of 2 nearest" matcher that expects affine transformation between images.

Parameters

full_affine	whether to use full affine transformation with 6 degress of freedom or reduced transformation with 4 degrees of freedom using only rotation, translation and uniform scaling
try_use_gpu	Should try to use GPU or not
match_conf	Match distances ration threshold
num_matches_thresh1	Minimum number of matches required for the 2D affine transform estimation used in the inliers classification step

See also: cv::estimateAffine2D cv::estimateAffinePartial2D

Member Function Documentation

◆ match()

void cv::detail::AffineBestOf2NearestMatcher::match	(	const ImageFeatures &	features1,
		const ImageFeatures &	features2,
		MatchesInfo &	matches_info
	)

protectedvirtual

This method must implement matching logic in order to make the wrappers detail::FeaturesMatcher::operator()_ work.

Parameters

features1	first image features
features2	second image features
matches_info	found matches

Implements cv::detail::FeaturesMatcher.

Member Data Documentation

◆ full_affine_

bool cv::detail::AffineBestOf2NearestMatcher::full_affine_

protected

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

opencv2/stitching/detail/matchers.hpp

Public Member Functions

Protected Member Functions

Protected Attributes