Modules
	Feature Detection and Description

	Descriptor Matchers

	Drawing Function of Keypoints and Matches

	Object Categorization

Classes
struct	cv::Accumulator< T >

struct	cv::Accumulator< char >

struct	cv::Accumulator< short >

struct	cv::Accumulator< unsigned char >

struct	cv::Accumulator< unsigned short >

class	cv::Feature2D
	Abstract base class for 2D image feature detectors and descriptor extractors. More...

class	cv::KeyPointsFilter
	A class filters a vector of keypoints. More...

struct	cv::L1< T >

struct	cv::L2< T >

struct	cv::SL2< T >

Typedefs
typedef Feature2D	cv::DescriptorExtractor

typedef Feature2D	cv::FeatureDetector

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 Description

Typedef Documentation

§ DescriptorExtractor

typedef Feature2D cv::DescriptorExtractor

#include <opencv2/features2d.hpp>

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.

§ FeatureDetector

typedef Feature2D cv::FeatureDetector

#include <opencv2/features2d.hpp>

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.

Function Documentation

§ computeRecallPrecisionCurve()

void cv::computeRecallPrecisionCurve	(	const std::vector< std::vector< DMatch > > &	matches1to2,
		const std::vector< std::vector< uchar > > &	correctMatches1to2Mask,
		std::vector< Point2f > &	recallPrecisionCurve
	)

#include <opencv2/features2d.hpp>

§ evaluateFeatureDetector()

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 >()`
	)