xfeatures2d.hpp File Reference

#include "opencv2/features2d.hpp"
#include "opencv2/xfeatures2d/nonfree.hpp"

Classes
class	cv::xfeatures2d::AffineFeature2D
	Class implementing affine adaptation for key points. More...
class	cv::xfeatures2d::BoostDesc
	Class implementing BoostDesc (Learning Image Descriptors with Boosting), described in. More...
class	cv::xfeatures2d::BriefDescriptorExtractor
	Class for computing BRIEF descriptors described in. More...
class	cv::xfeatures2d::DAISY
	Class implementing DAISY descriptor, described in. More...
class	cv::xfeatures2d::Elliptic_KeyPoint
	Elliptic region around an interest point. More...
class	cv::xfeatures2d::FREAK
	Class implementing the FREAK (Fast Retina Keypoint) keypoint descriptor, described in. More...
class	cv::xfeatures2d::HarrisLaplaceFeatureDetector
	Class implementing the Harris-Laplace feature detector as described in. More...
class	cv::xfeatures2d::LATCH
class	cv::xfeatures2d::LUCID
	Class implementing the locally uniform comparison image descriptor, described in. More...
class	cv::xfeatures2d::MSDDetector
	Class implementing the MSD (Maximal Self-Dissimilarity) keypoint detector, described in. More...
class	cv::xfeatures2d::PCTSignatures
	Class implementing PCT (position-color-texture) signature extraction as described in. More...
class	cv::xfeatures2d::PCTSignaturesSQFD
	Class implementing Signature Quadratic Form Distance (SQFD). More...
class	cv::xfeatures2d::StarDetector
	The class implements the keypoint detector introduced by. More...
class	cv::xfeatures2d::VGG
	Class implementing VGG (Oxford Visual Geometry Group) descriptor trained end to end using "Descriptor Learning Using Convex Optimisation" (DLCO) aparatus described in. More...

Namespaces
namespace	cv
	"black box" representation of the file storage associated with a file on disk.
namespace	cv::xfeatures2d

Functions
void	cv::xfeatures2d::FASTForPointSet (InputArray image, std::vector< KeyPoint > &keypoints, int threshold, bool nonmaxSuppression=true, cv::FastFeatureDetector::DetectorType type=FastFeatureDetector::TYPE_9_16)
	Estimates cornerness for prespecified KeyPoints using the FAST algorithm.
void	cv::xfeatures2d::matchGMS (const Size &size1, const Size &size2, const std::vector< KeyPoint > &keypoints1, const std::vector< KeyPoint > &keypoints2, const std::vector< DMatch > &matches1to2, std::vector< DMatch > &matchesGMS, const bool withRotation=false, const bool withScale=false, const double thresholdFactor=6.0)
	GMS (Grid-based Motion Statistics) feature matching strategy by.