OpenCV  4.7.0
Open Source Computer Vision
Public Member Functions | Protected Member Functions | Protected Attributes | List of all members
cv::detail::AffineBestOf2NearestMatcher Class Reference

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>

Inheritance diagram for cv::detail::AffineBestOf2NearestMatcher:
cv::detail::BestOf2NearestMatcher cv::detail::FeaturesMatcher

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. More...
 
- 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_confindece_thresh=3.)
 Constructs a "best of 2 nearest" matcher. More...
 
void collectGarbage () CV_OVERRIDE
 Frees unused memory allocated before if there is any. More...
 
- 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. More...
 

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. More...
 
- 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. More...
 

Protected Attributes

bool full_affine_
 
- Protected Attributes inherited from cv::detail::BestOf2NearestMatcher
Ptr< FeaturesMatcherimpl_
 
double matches_confindece_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< BestOf2NearestMatchercreate (bool try_use_gpu=false, float match_conf=0.3f, int num_matches_thresh1=6, int num_matches_thresh2=6, double matches_confindece_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

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

Parameters
full_affinewhether 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_gpuShould try to use GPU or not
match_confMatch distances ration threshold
num_matches_thresh1Minimum 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
features1first image features
features2second image features
matches_infofound matches

Reimplemented from cv::detail::BestOf2NearestMatcher.

Member Data Documentation

◆ full_affine_

bool cv::detail::AffineBestOf2NearestMatcher::full_affine_
protected

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