OpenCV
3.2.0
Open Source Computer Vision
|
Class implementing BoostDesc (Learning Image Descriptors with Boosting), described in [148] and [149]. More...
#include "xfeatures2d.hpp"
Public Types | |
enum | { BGM = 100, BGM_HARD = 101, BGM_BILINEAR = 102, LBGM = 200, BINBOOST_64 = 300, BINBOOST_128 = 301, BINBOOST_256 = 302 } |
Static Public Member Functions | |
static Ptr< BoostDesc > | create (int desc=BoostDesc::BINBOOST_256, bool use_scale_orientation=true, float scale_factor=6.25f) |
Static Public Member Functions inherited from cv::Algorithm | |
template<typename _Tp > | |
static Ptr< _Tp > | load (const String &filename, const String &objname=String()) |
Loads algorithm from the file. More... | |
template<typename _Tp > | |
static Ptr< _Tp > | loadFromString (const String &strModel, const String &objname=String()) |
Loads algorithm from a String. More... | |
template<typename _Tp > | |
static Ptr< _Tp > | read (const FileNode &fn) |
Reads algorithm from the file node. More... | |
Additional Inherited Members | |
Public Member Functions inherited from cv::Feature2D | |
virtual | ~Feature2D () |
virtual void | compute (InputArray image, std::vector< KeyPoint > &keypoints, OutputArray descriptors) |
Computes the descriptors for a set of keypoints detected in an image (first variant) or image set (second variant). More... | |
virtual void | compute (InputArrayOfArrays images, std::vector< std::vector< KeyPoint > > &keypoints, OutputArrayOfArrays descriptors) |
virtual int | defaultNorm () const |
virtual int | descriptorSize () const |
virtual int | descriptorType () const |
virtual void | detect (InputArray image, std::vector< KeyPoint > &keypoints, InputArray mask=noArray()) |
Detects keypoints in an image (first variant) or image set (second variant). More... | |
virtual void | detect (InputArrayOfArrays images, std::vector< std::vector< KeyPoint > > &keypoints, InputArrayOfArrays masks=noArray()) |
virtual void | detectAndCompute (InputArray image, InputArray mask, std::vector< KeyPoint > &keypoints, OutputArray descriptors, bool useProvidedKeypoints=false) |
virtual bool | empty () const |
Return true if detector object is empty. More... | |
void | read (const String &fileName) |
virtual void | read (const FileNode &) |
Reads algorithm parameters from a file storage. More... | |
void | write (const String &fileName) const |
virtual void | write (FileStorage &) const |
Stores algorithm parameters in a file storage. More... | |
Public Member Functions inherited from cv::Algorithm | |
Algorithm () | |
virtual | ~Algorithm () |
virtual void | clear () |
Clears the algorithm state. More... | |
virtual String | getDefaultName () const |
virtual void | save (const String &filename) const |
Protected Member Functions inherited from cv::Algorithm | |
void | writeFormat (FileStorage &fs) const |
Class implementing BoostDesc (Learning Image Descriptors with Boosting), described in [148] and [149].
desc | type of descriptor to use, BoostDesc::BINBOOST_256 is default (256 bit long dimension) Available types are: BoostDesc::BGM, BoostDesc::BGM_HARD, BoostDesc::BGM_BILINEAR, BoostDesc::LBGM, BoostDesc::BINBOOST_64, BoostDesc::BINBOOST_128, BoostDesc::BINBOOST_256 |
use_orientation | sample patterns using keypoints orientation, enabled by default |
scale_factor | adjust the sampling window of detected keypoints 6.25f is default and fits for KAZE, SURF detected keypoints window ratio 6.75f should be the scale for SIFT detected keypoints window ratio 5.00f should be the scale for AKAZE, MSD, AGAST, FAST, BRISK keypoints window ratio 0.75f should be the scale for ORB keypoints ratio 1.50f was the default in original implementation |
|
static |