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.
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#include "matchers.hpp"
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| 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 trasformation between images. More...
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| BestOf2NearestMatcher (bool try_use_gpu=false, float match_conf=0.3f, int num_matches_thresh1=6, int num_matches_thresh2=6) |
| Constructs a "best of 2 nearest" matcher. More...
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void | collectGarbage () |
| Frees unused memory allocated before if there is any. More...
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virtual | ~FeaturesMatcher () |
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bool | isThreadSafe () const |
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void | operator() (const ImageFeatures &features1, const ImageFeatures &features2, MatchesInfo &matches_info) |
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void | operator() (const std::vector< ImageFeatures > &features, std::vector< MatchesInfo > &pairwise_matches, const cv::UMat &mask=cv::UMat()) |
| Performs images matching. More...
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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 trasformation estimate will be placed in matches_info).
- See also
- cv::detail::FeaturesMatcher cv::detail::BestOf2NearestMatcher
◆ AffineBestOf2NearestMatcher()
cv::detail::AffineBestOf2NearestMatcher::AffineBestOf2NearestMatcher |
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bool |
full_affine = false , |
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bool |
try_use_gpu = false , |
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float |
match_conf = 0.3f , |
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int |
num_matches_thresh1 = 6 |
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) |
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inline |
Constructs a "best of 2 nearest" matcher that expects affine trasformation between images.
- Parameters
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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
◆ match()
This method must implement matching logic in order to make the wrappers detail::FeaturesMatcher::operator()_ work.
- Parameters
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features1 | first image features |
features2 | second image features |
matches_info | found matches |
Reimplemented from cv::detail::BestOf2NearestMatcher.
◆ full_affine_
bool cv::detail::AffineBestOf2NearestMatcher::full_affine_ |
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protected |
The documentation for this class was generated from the following file: