cv::detail::LightGlueFeaturesMatcher Class Reference

Features matcher that adapts LightGlueMatcher (DescriptorMatcher) to the stitching pipeline's FeaturesMatcher interface. More...

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

Public Member Functions
	LightGlueFeaturesMatcher (Ptr< LightGlueMatcher > lgMatcher, int num_matches_thresh1=6, int num_matches_thresh2=6, double matches_confidence_thresh=3.0)
	Constructs a LightGlue features matcher.
void	setScoreThreshold (float thresh)
	Sets the LightGlue confidence threshold for filtering matches.
Public Member Functions inherited from cv::detail::FeaturesMatcher
virtual	~FeaturesMatcher ()
virtual void	collectGarbage ()
	Frees unused memory allocated before if there is any.
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::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
float	lg_score_thresh_
Ptr< LightGlueMatcher >	lgMatcher_
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 that adapts LightGlueMatcher (DescriptorMatcher) to the stitching pipeline's FeaturesMatcher interface.

This matcher uses DNN-based LightGlue for feature matching, requiring ALIKED-style keypoints with spatial context for positional encoding.

See also

cv::detail::FeaturesMatcher cv::LightGlueMatcher

Constructor & Destructor Documentation

LightGlueFeaturesMatcher()

cv::detail::LightGlueFeaturesMatcher::LightGlueFeaturesMatcher	(	Ptr< LightGlueMatcher >	lgMatcher,
		int	num_matches_thresh1 = 6,
		int	num_matches_thresh2 = 6,
		double	matches_confidence_thresh = 3.0 )

Python:
	cv.detail.LightGlueFeaturesMatcher(	lgMatcher[, num_matches_thresh1[, num_matches_thresh2[, matches_confidence_thresh]]]	) ->	<detail_LightGlueFeaturesMatcher object>

Constructs a LightGlue features matcher.

Parameters

lgMatcher	LightGlueMatcher instance for DNN-based matching
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.

Member Function Documentation

match()

void cv::detail::LightGlueFeaturesMatcher::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.

setScoreThreshold()

void cv::detail::LightGlueFeaturesMatcher::setScoreThreshold

(

float

thresh

)

Python:
	cv.detail.LightGlueFeaturesMatcher.setScoreThreshold(	thresh	) ->	None

Sets the LightGlue confidence threshold for filtering matches.

Member Data Documentation

lg_score_thresh_

float cv::detail::LightGlueFeaturesMatcher::lg_score_thresh_

protected

lgMatcher_

Ptr<LightGlueMatcher> cv::detail::LightGlueFeaturesMatcher::lgMatcher_

protected

matches_confidence_thresh_

double cv::detail::LightGlueFeaturesMatcher::matches_confidence_thresh_

protected

num_matches_thresh1_

int cv::detail::LightGlueFeaturesMatcher::num_matches_thresh1_

protected

num_matches_thresh2_

int cv::detail::LightGlueFeaturesMatcher::num_matches_thresh2_

protected

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

• opencv2/stitching/detail/matchers.hpp