cv::detail::BestOf2NearestMatcher Class Reference

Features matcher 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::BestOf2NearestMatcher:

Public Member Functions
	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.

Static Public Member Functions
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.)

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::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
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_

Detailed Description

Features matcher 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.

See also

detail::FeaturesMatcher

Constructor & Destructor Documentation

BestOf2NearestMatcher()

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. )

Python:
	cv.detail.BestOf2NearestMatcher(	[, try_use_gpu[, match_conf[, num_matches_thresh1[, num_matches_thresh2[, matches_confidence_thresh]]]]]	) ->	<detail_BestOf2NearestMatcher object>

Constructs a "best of 2 nearest" matcher.

Parameters

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 projective transform estimation used in the inliers classification step
num_matches_thresh2	Minimum number of matches required for the 2D projective transform re-estimation on inliers
matches_confidence_thresh	Matching confidence threshold to take the match into account. The threshold was determined experimentally and set to 3 by default.

Member Function Documentation

collectGarbage()

void cv::detail::BestOf2NearestMatcher::collectGarbage ( )

virtual

Python:
	cv.detail.BestOf2NearestMatcher.collectGarbage(		) ->	None

Frees unused memory allocated before if there is any.

Reimplemented from cv::detail::FeaturesMatcher.

create()

static Ptr< BestOf2NearestMatcher > cv::detail::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. )

static

Python:
	cv.detail.BestOf2NearestMatcher.create(	[, try_use_gpu[, match_conf[, num_matches_thresh1[, num_matches_thresh2[, matches_confidence_thresh]]]]]	) ->	retval
	cv.detail.BestOf2NearestMatcher_create(	[, try_use_gpu[, match_conf[, num_matches_thresh1[, num_matches_thresh2[, matches_confidence_thresh]]]]]	) ->	retval

match()

void cv::detail::BestOf2NearestMatcher::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.

Reimplemented in cv::detail::BestOf2NearestRangeMatcher.

Member Data Documentation

impl_

Ptr<FeaturesMatcher> cv::detail::BestOf2NearestMatcher::impl_

protected

matches_confidence_thresh_

double cv::detail::BestOf2NearestMatcher::matches_confidence_thresh_

protected

num_matches_thresh1_

int cv::detail::BestOf2NearestMatcher::num_matches_thresh1_

protected

num_matches_thresh2_

int cv::detail::BestOf2NearestMatcher::num_matches_thresh2_

protected

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

• opencv2/stitching/detail/matchers.hpp