features2d.hpp File Reference

#include "opencv2/opencv_modules.hpp"
#include "opencv2/core.hpp"

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::AffineFeature
	Class for implementing the wrapper which makes detectors and extractors to be affine invariant, described as ASIFT in [YM11] . More...
class	cv::AgastFeatureDetector
	Wrapping class for feature detection using the AGAST method. : More...
class	cv::AKAZE
	Class implementing the AKAZE keypoint detector and descriptor extractor, described in [ANB13]. More...
class	cv::BFMatcher
	Brute-force descriptor matcher. More...
class	cv::BOWImgDescriptorExtractor
	Class to compute an image descriptor using the bag of visual words. More...
class	cv::BOWKMeansTrainer
	kmeans -based class to train visual vocabulary using the bag of visual words approach. : More...
class	cv::BOWTrainer
	Abstract base class for training the bag of visual words vocabulary from a set of descriptors. More...
class	cv::BRISK
	Class implementing the BRISK keypoint detector and descriptor extractor, described in [LCS11] . More...
class	cv::DescriptorMatcher::DescriptorCollection
class	cv::DescriptorMatcher
	Abstract base class for matching keypoint descriptors. More...
class	cv::FastFeatureDetector
	Wrapping class for feature detection using the FAST method. : More...
class	cv::Feature2D
	Abstract base class for 2D image feature detectors and descriptor extractors. More...
class	cv::FlannBasedMatcher
	Flann-based descriptor matcher. More...
class	cv::GFTTDetector
	Wrapping class for feature detection using the goodFeaturesToTrack function. : More...
class	cv::KAZE
	Class implementing the KAZE keypoint detector and descriptor extractor, described in [ABD12] . More...
class	cv::KeyPointsFilter
	A class filters a vector of keypoints. More...
struct	cv::L1< T >
struct	cv::L2< T >
class	cv::MSER
	Maximally stable extremal region extractor. More...
class	cv::ORB
	Class implementing the ORB (oriented BRIEF) keypoint detector and descriptor extractor. More...
struct	cv::SimpleBlobDetector::Params
class	cv::SIFT
	Class for extracting keypoints and computing descriptors using the Scale Invariant Feature Transform (SIFT) algorithm by D. Lowe [Lowe04] . More...
class	cv::SimpleBlobDetector
	Class for extracting blobs from an image. : More...
struct	cv::SL2< T >

Namespaces
namespace	cv
	"black box" representation of the file storage associated with a file on disk.

Typedefs
typedef AffineFeature	cv::AffineDescriptorExtractor
typedef AffineFeature	cv::AffineFeatureDetector
typedef Feature2D	cv::DescriptorExtractor
typedef Feature2D	cv::FeatureDetector
typedef SIFT	cv::SiftDescriptorExtractor
typedef SIFT	cv::SiftFeatureDetector

Enumerations
enum struct	cv::DrawMatchesFlags {   cv::DrawMatchesFlags::DEFAULT = 0 ,   cv::DrawMatchesFlags::DRAW_OVER_OUTIMG = 1 ,   cv::DrawMatchesFlags::NOT_DRAW_SINGLE_POINTS = 2 ,   cv::DrawMatchesFlags::DRAW_RICH_KEYPOINTS = 4 }

Functions
void	cv::AGAST (InputArray image, std::vector< KeyPoint > &keypoints, int threshold, bool nonmaxSuppression, AgastFeatureDetector::DetectorType type)
	Detects corners using the AGAST algorithm.
void	cv::AGAST (InputArray image, std::vector< KeyPoint > &keypoints, int threshold, bool nonmaxSuppression=true)
void	cv::computeRecallPrecisionCurve (const std::vector< std::vector< DMatch > > &matches1to2, const std::vector< std::vector< uchar > > &correctMatches1to2Mask, std::vector< Point2f > &recallPrecisionCurve)
void	cv::drawKeypoints (InputArray image, const std::vector< KeyPoint > &keypoints, InputOutputArray outImage, const Scalar &color=Scalar::all(-1), DrawMatchesFlags flags=DrawMatchesFlags::DEFAULT)
	Draws keypoints.
void	cv::drawMatches (InputArray img1, const std::vector< KeyPoint > &keypoints1, InputArray img2, const std::vector< KeyPoint > &keypoints2, const std::vector< DMatch > &matches1to2, InputOutputArray outImg, const int matchesThickness, const Scalar &matchColor=Scalar::all(-1), const Scalar &singlePointColor=Scalar::all(-1), const std::vector< char > &matchesMask=std::vector< char >(), DrawMatchesFlags flags=DrawMatchesFlags::DEFAULT)
void	cv::drawMatches (InputArray img1, const std::vector< KeyPoint > &keypoints1, InputArray img2, const std::vector< KeyPoint > &keypoints2, const std::vector< DMatch > &matches1to2, InputOutputArray outImg, const Scalar &matchColor=Scalar::all(-1), const Scalar &singlePointColor=Scalar::all(-1), const std::vector< char > &matchesMask=std::vector< char >(), DrawMatchesFlags flags=DrawMatchesFlags::DEFAULT)
	Draws the found matches of keypoints from two images.
void	cv::drawMatches (InputArray img1, const std::vector< KeyPoint > &keypoints1, InputArray img2, const std::vector< KeyPoint > &keypoints2, const std::vector< std::vector< DMatch > > &matches1to2, InputOutputArray outImg, const Scalar &matchColor=Scalar::all(-1), const Scalar &singlePointColor=Scalar::all(-1), const std::vector< std::vector< char > > &matchesMask=std::vector< std::vector< char > >(), DrawMatchesFlags flags=DrawMatchesFlags::DEFAULT)
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 >())
void	cv::FAST (InputArray image, std::vector< KeyPoint > &keypoints, int threshold, bool nonmaxSuppression, FastFeatureDetector::DetectorType type)
	Detects corners using the FAST algorithm.
void	cv::FAST (InputArray image, std::vector< KeyPoint > &keypoints, int threshold, bool nonmaxSuppression=true)
int	cv::getNearestPoint (const std::vector< Point2f > &recallPrecisionCurve, float l_precision)
float	cv::getRecall (const std::vector< Point2f > &recallPrecisionCurve, float l_precision)