2D Features Framework
Overview
// typedefs typedef Feature2D cv::DescriptorExtractor; typedef Feature2D cv::FeatureDetector; // structs template <typename T> struct cv::Accumulator; template <> struct cv::Accumulator<unsigned short>; template <> struct cv::Accumulator<short>; template <> struct cv::Accumulator<unsigned char>; template <> struct cv::Accumulator<char>; template <class T> struct cv::L1; template <class T> struct cv::L2; template <class T> struct cv::SL2; // classes class cv::Feature2D; class cv::KeyPointsFilter; // global functions void cv::computeRecallPrecisionCurve( const std::vector<std::vector<DMatch>>& matches1to2, const std::vector<std::vector<uchar>>& correctMatches1to2Mask, std::vector<Point2f>& recallPrecisionCurve ); void cv::evaluateFeatureDetector( const Mat& img1, const Mat& img2, const Mat& H1to2, std::vector<KeyPoint>* keypoints1, std::vector<KeyPoint>* keypoints2, float& repeatability, int& correspCount, const Ptr<FeatureDetector>& fdetector = Ptr<FeatureDetector>() ); int cv::getNearestPoint( const std::vector<Point2f>& recallPrecisionCurve, float l_precision ); float cv::getRecall( const std::vector<Point2f>& recallPrecisionCurve, float l_precision );
Detailed Documentation
Typedefs
typedef Feature2D cv::DescriptorExtractor
Extractors of keypoint descriptors in OpenCV have wrappers with a common interface that enables you to easily switch between different algorithms solving the same problem. This section is devoted to computing descriptors represented as vectors in a multidimensional space. All objects that implement the vector descriptor extractors inherit the DescriptorExtractor interface.
typedef Feature2D cv::FeatureDetector
Feature detectors in OpenCV have wrappers with a common interface that enables you to easily switch between different algorithms solving the same problem. All objects that implement keypoint detectors inherit the FeatureDetector interface.