OpenCV
3.3.0-dev
Open Source Computer Vision
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Brute-force descriptor matcher. More...
#include "features2d.hpp"
Public Member Functions | |
BFMatcher (int normType=NORM_L2, bool crossCheck=false) | |
Brute-force matcher constructor (obsolete). Please use BFMatcher.create() More... | |
virtual | ~BFMatcher () |
virtual Ptr< DescriptorMatcher > | clone (bool emptyTrainData=false) const |
Clones the matcher. More... | |
virtual bool | isMaskSupported () const |
Returns true if the descriptor matcher supports masking permissible matches. More... | |
Public Member Functions inherited from cv::DescriptorMatcher | |
virtual | ~DescriptorMatcher () |
virtual void | add (InputArrayOfArrays descriptors) |
Adds descriptors to train a CPU(trainDescCollectionis) or GPU(utrainDescCollectionis) descriptor collection. More... | |
virtual void | clear () |
Clears the train descriptor collections. More... | |
virtual bool | empty () const |
Returns true if there are no train descriptors in the both collections. More... | |
const std::vector< Mat > & | getTrainDescriptors () const |
Returns a constant link to the train descriptor collection trainDescCollection . More... | |
void | knnMatch (InputArray queryDescriptors, InputArray trainDescriptors, std::vector< std::vector< DMatch > > &matches, int k, InputArray mask=noArray(), bool compactResult=false) const |
Finds the k best matches for each descriptor from a query set. More... | |
void | knnMatch (InputArray queryDescriptors, std::vector< std::vector< DMatch > > &matches, int k, InputArrayOfArrays masks=noArray(), bool compactResult=false) |
void | match (InputArray queryDescriptors, InputArray trainDescriptors, std::vector< DMatch > &matches, InputArray mask=noArray()) const |
Finds the best match for each descriptor from a query set. More... | |
void | match (InputArray queryDescriptors, std::vector< DMatch > &matches, InputArrayOfArrays masks=noArray()) |
void | radiusMatch (InputArray queryDescriptors, InputArray trainDescriptors, std::vector< std::vector< DMatch > > &matches, float maxDistance, InputArray mask=noArray(), bool compactResult=false) const |
For each query descriptor, finds the training descriptors not farther than the specified distance. More... | |
void | radiusMatch (InputArray queryDescriptors, std::vector< std::vector< DMatch > > &matches, float maxDistance, InputArrayOfArrays masks=noArray(), bool compactResult=false) |
void | read (const String &fileName) |
virtual void | read (const FileNode &) |
Reads algorithm parameters from a file storage. More... | |
virtual void | train () |
Trains a descriptor matcher. 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 String | getDefaultName () const |
virtual void | save (const String &filename) const |
Static Public Member Functions | |
static Ptr< BFMatcher > | create (int normType=NORM_L2, bool crossCheck=false) |
Brute-force matcher create method. More... | |
Static Public Member Functions inherited from cv::DescriptorMatcher | |
static Ptr< DescriptorMatcher > | create (const String &descriptorMatcherType) |
Creates a descriptor matcher of a given type with the default parameters (using default constructor). More... | |
static Ptr< DescriptorMatcher > | create (int matcherType) |
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... | |
Protected Member Functions | |
virtual void | knnMatchImpl (InputArray queryDescriptors, std::vector< std::vector< DMatch > > &matches, int k, InputArrayOfArrays masks=noArray(), bool compactResult=false) |
virtual void | radiusMatchImpl (InputArray queryDescriptors, std::vector< std::vector< DMatch > > &matches, float maxDistance, InputArrayOfArrays masks=noArray(), bool compactResult=false) |
Protected Member Functions inherited from cv::DescriptorMatcher | |
void | checkMasks (InputArrayOfArrays masks, int queryDescriptorsCount) const |
Protected Member Functions inherited from cv::Algorithm | |
void | writeFormat (FileStorage &fs) const |
Protected Attributes | |
bool | crossCheck |
int | normType |
Protected Attributes inherited from cv::DescriptorMatcher | |
std::vector< Mat > | trainDescCollection |
Collection of descriptors from train images. More... | |
std::vector< UMat > | utrainDescCollection |
Additional Inherited Members | |
Public Types inherited from cv::DescriptorMatcher | |
enum | { FLANNBASED = 1, BRUTEFORCE = 2, BRUTEFORCE_L1 = 3, BRUTEFORCE_HAMMING = 4, BRUTEFORCE_HAMMINGLUT = 5, BRUTEFORCE_SL2 = 6 } |
Static Protected Member Functions inherited from cv::DescriptorMatcher | |
static Mat | clone_op (Mat m) |
static bool | isMaskedOut (InputArrayOfArrays masks, int queryIdx) |
static bool | isPossibleMatch (InputArray mask, int queryIdx, int trainIdx) |
Brute-force descriptor matcher.
For each descriptor in the first set, this matcher finds the closest descriptor in the second set by trying each one. This descriptor matcher supports masking permissible matches of descriptor sets.
cv::BFMatcher::BFMatcher | ( | int | normType = NORM_L2 , |
bool | crossCheck = false |
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Brute-force matcher constructor (obsolete). Please use BFMatcher.create()
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inlinevirtual |
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virtual |
Clones the matcher.
emptyTrainData | If emptyTrainData is false, the method creates a deep copy of the object, that is, copies both parameters and train data. If emptyTrainData is true, the method creates an object copy with the current parameters but with empty train data. |
Implements cv::DescriptorMatcher.
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static |
Brute-force matcher create method.
normType | One of NORM_L1, NORM_L2, NORM_HAMMING, NORM_HAMMING2. L1 and L2 norms are preferable choices for SIFT and SURF descriptors, NORM_HAMMING should be used with ORB, BRISK and BRIEF, NORM_HAMMING2 should be used with ORB when WTA_K==3 or 4 (see ORB::ORB constructor description). |
crossCheck | If it is false, this is will be default BFMatcher behaviour when it finds the k nearest neighbors for each query descriptor. If crossCheck==true, then the knnMatch() method with k=1 will only return pairs (i,j) such that for i-th query descriptor the j-th descriptor in the matcher's collection is the nearest and vice versa, i.e. the BFMatcher will only return consistent pairs. Such technique usually produces best results with minimal number of outliers when there are enough matches. This is alternative to the ratio test, used by D. Lowe in SIFT paper. |
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inlinevirtual |
Returns true if the descriptor matcher supports masking permissible matches.
Implements cv::DescriptorMatcher.
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protectedvirtual |
In fact the matching is implemented only by the following two methods. These methods suppose that the class object has been trained already. Public match methods call these methods after calling train().
Implements cv::DescriptorMatcher.
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protectedvirtual |
Implements cv::DescriptorMatcher.
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protected |
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protected |