2D Features Framework

Collaboration diagram for 2D Features Framework:

Modules
	Feature Detection and Description
	Descriptor Matchers
	Matchers of keypoint descriptors in OpenCV have wrappers with a common interface that enables you to easily switch between different algorithms solving the same problem.
	Drawing Function of Keypoints and Matches
	Object Categorization
	This section describes approaches based on local 2D features and used to categorize objects.

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
	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. More...
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. More...

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 >()
	)

#include <opencv2/features2d.hpp>

getNearestPoint()

int cv::getNearestPoint	(	const std::vector< Point2f > &	recallPrecisionCurve,
		float	l_precision
	)

#include <opencv2/features2d.hpp>

getRecall()

float cv::getRecall	(	const std::vector< Point2f > &	recallPrecisionCurve,
		float	l_precision
	)

#include <opencv2/features2d.hpp>