OpenCV  3.1.0
Open Source Computer Vision
Classes | Enumerations
Experimental 2D Features Algorithms

Classes

class  cv::xfeatures2d::BriefDescriptorExtractor
 Class for computing BRIEF descriptors described in [23] . More...
 
class  cv::xfeatures2d::DAISY
 Class implementing DAISY descriptor, described in [137]. More...
 
class  cv::xfeatures2d::FREAK
 Class implementing the FREAK (Fast Retina Keypoint) keypoint descriptor, described in [4] . More...
 
class  cv::xfeatures2d::LATCH
 
class  cv::xfeatures2d::LUCID
 Class implementing the locally uniform comparison image descriptor, described in [162]. More...
 
class  cv::xfeatures2d::MSDDetector
 Class implementing the MSD (Maximal Self-Dissimilarity) keypoint detector, described in [138]. More...
 
class  cv::xfeatures2d::StarDetector
 The class implements the keypoint detector introduced by [2], synonym of StarDetector. : More...
 

Enumerations

enum  {
  cv::xfeatures2d::FREAK::NB_SCALES = 64,
  cv::xfeatures2d::FREAK::NB_PAIRS = 512,
  cv::xfeatures2d::FREAK::NB_ORIENPAIRS = 45
}
 
enum  {
  cv::xfeatures2d::DAISY::NRM_NONE = 100,
  cv::xfeatures2d::DAISY::NRM_PARTIAL = 101,
  cv::xfeatures2d::DAISY::NRM_FULL = 102,
  cv::xfeatures2d::DAISY::NRM_SIFT = 103
}
 

Detailed Description

This section describes experimental algorithms for 2d feature detection.

Enumeration Type Documentation

anonymous enum
Enumerator
NB_SCALES 
NB_PAIRS 
NB_ORIENPAIRS 
anonymous enum
Enumerator
NRM_NONE 
NRM_PARTIAL 
NRM_FULL 
NRM_SIFT