Class implementing the BRISK keypoint detector and descriptor extractor, described in [53] .
More...
#include <opencv2/features2d.hpp>
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virtual void | clear () |
| Clears the algorithm state. More...
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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...
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virtual void | compute (InputArrayOfArrays images, std::vector< std::vector< KeyPoint > > &keypoints, OutputArrayOfArrays descriptors) |
| This is an overloaded member function, provided for convenience. It differs from the above function only in what argument(s) it accepts. More...
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virtual int | defaultNorm () const |
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virtual int | descriptorSize () const |
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virtual int | descriptorType () const |
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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...
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virtual void | detect (InputArrayOfArrays images, std::vector< std::vector< KeyPoint > > &keypoints, InputArrayOfArrays masks=noArray()) |
| This is an overloaded member function, provided for convenience. It differs from the above function only in what argument(s) it accepts. More...
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virtual void | detectAndCompute (InputArray image, InputArray mask, std::vector< KeyPoint > &keypoints, OutputArray descriptors, bool useProvidedKeypoints=false) |
| Detects keypoints and computes the descriptors. More...
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virtual bool | empty () const CV_OVERRIDE |
| Return true if detector object is empty. More...
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virtual String | getDefaultName () const CV_OVERRIDE |
| Returns the algorithm string identifier. More...
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virtual int | getOctaves () const |
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virtual int | getThreshold () const |
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void | read (const String &fileName) |
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virtual void | read (const FileNode &) CV_OVERRIDE |
| Reads algorithm parameters from a file storage. More...
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virtual void | save (const String &filename) const |
| Saves the algorithm to a file. More...
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virtual void | setOctaves (int octaves) |
| Set detection octaves. More...
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virtual void | setThreshold (int threshold) |
| Set detection threshold. More...
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void | write (const String &fileName) const |
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virtual void | write (FileStorage &) const CV_OVERRIDE |
| Stores algorithm parameters in a file storage. More...
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void | write (const Ptr< FileStorage > &fs, const String &name=String()) const |
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static Ptr< BRISK > | create (int thresh=30, int octaves=3, float patternScale=1.0f) |
| The BRISK constructor. More...
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static Ptr< BRISK > | create (const std::vector< float > &radiusList, const std::vector< int > &numberList, float dMax=5.85f, float dMin=8.2f, const std::vector< int > &indexChange=std::vector< int >()) |
| The BRISK constructor for a custom pattern. More...
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static Ptr< BRISK > | create (int thresh, int octaves, const std::vector< float > &radiusList, const std::vector< int > &numberList, float dMax=5.85f, float dMin=8.2f, const std::vector< int > &indexChange=std::vector< int >()) |
| The BRISK constructor for a custom pattern, detection threshold and octaves. More...
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template<typename _Tp > |
static Ptr< _Tp > | load (const String &filename, const String &objname=String()) |
| Loads algorithm from the file. More...
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template<typename _Tp > |
static Ptr< _Tp > | loadFromString (const String &strModel, const String &objname=String()) |
| Loads algorithm from a String. More...
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Class implementing the BRISK keypoint detector and descriptor extractor, described in [53] .
◆ clear()
virtual void cv::Algorithm::clear |
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inlinevirtualinherited |
◆ compute() [1/2]
Computes the descriptors for a set of keypoints detected in an image (first variant) or image set (second variant).
- Parameters
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image | Image. |
keypoints | Input collection of keypoints. Keypoints for which a descriptor cannot be computed are removed. Sometimes new keypoints can be added, for example: SIFT duplicates keypoint with several dominant orientations (for each orientation). |
descriptors | Computed descriptors. In the second variant of the method descriptors[i] are descriptors computed for a keypoints[i]. Row j is the keypoints (or keypoints[i]) is the descriptor for keypoint j-th keypoint. |
◆ compute() [2/2]
This is an overloaded member function, provided for convenience. It differs from the above function only in what argument(s) it accepts.
- Parameters
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images | Image set. |
keypoints | Input collection of keypoints. Keypoints for which a descriptor cannot be computed are removed. Sometimes new keypoints can be added, for example: SIFT duplicates keypoint with several dominant orientations (for each orientation). |
descriptors | Computed descriptors. In the second variant of the method descriptors[i] are descriptors computed for a keypoints[i]. Row j is the keypoints (or keypoints[i]) is the descriptor for keypoint j-th keypoint. |
◆ create() [1/3]
static Ptr<BRISK> cv::BRISK::create |
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int |
thresh = 30 , |
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int |
octaves = 3 , |
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float |
patternScale = 1.0f |
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The BRISK constructor.
- Parameters
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thresh | AGAST detection threshold score. |
octaves | detection octaves. Use 0 to do single scale. |
patternScale | apply this scale to the pattern used for sampling the neighbourhood of a keypoint. |
◆ create() [2/3]
static Ptr<BRISK> cv::BRISK::create |
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const std::vector< float > & |
radiusList, |
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const std::vector< int > & |
numberList, |
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float |
dMax = 5.85f , |
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float |
dMin = 8.2f , |
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const std::vector< int > & |
indexChange = std::vector< int >() |
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The BRISK constructor for a custom pattern.
- Parameters
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radiusList | defines the radii (in pixels) where the samples around a keypoint are taken (for keypoint scale 1). |
numberList | defines the number of sampling points on the sampling circle. Must be the same size as radiusList.. |
dMax | threshold for the short pairings used for descriptor formation (in pixels for keypoint scale 1). |
dMin | threshold for the long pairings used for orientation determination (in pixels for keypoint scale 1). |
indexChange | index remapping of the bits. |
◆ create() [3/3]
static Ptr<BRISK> cv::BRISK::create |
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int |
thresh, |
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int |
octaves, |
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const std::vector< float > & |
radiusList, |
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const std::vector< int > & |
numberList, |
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float |
dMax = 5.85f , |
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float |
dMin = 8.2f , |
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const std::vector< int > & |
indexChange = std::vector< int >() |
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static |
The BRISK constructor for a custom pattern, detection threshold and octaves.
- Parameters
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thresh | AGAST detection threshold score. |
octaves | detection octaves. Use 0 to do single scale. |
radiusList | defines the radii (in pixels) where the samples around a keypoint are taken (for keypoint scale 1). |
numberList | defines the number of sampling points on the sampling circle. Must be the same size as radiusList.. |
dMax | threshold for the short pairings used for descriptor formation (in pixels for keypoint scale 1). |
dMin | threshold for the long pairings used for orientation determination (in pixels for keypoint scale 1). |
indexChange | index remapping of the bits. |
◆ defaultNorm()
virtual int cv::Feature2D::defaultNorm |
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const |
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virtualinherited |
◆ descriptorSize()
virtual int cv::Feature2D::descriptorSize |
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const |
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virtualinherited |
◆ descriptorType()
virtual int cv::Feature2D::descriptorType |
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const |
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virtualinherited |
◆ detect() [1/2]
Detects keypoints in an image (first variant) or image set (second variant).
- Parameters
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image | Image. |
keypoints | The detected keypoints. In the second variant of the method keypoints[i] is a set of keypoints detected in images[i] . |
mask | Mask specifying where to look for keypoints (optional). It must be a 8-bit integer matrix with non-zero values in the region of interest. |
◆ detect() [2/2]
This is an overloaded member function, provided for convenience. It differs from the above function only in what argument(s) it accepts.
- Parameters
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images | Image set. |
keypoints | The detected keypoints. In the second variant of the method keypoints[i] is a set of keypoints detected in images[i] . |
masks | Masks for each input image specifying where to look for keypoints (optional). masks[i] is a mask for images[i]. |
◆ detectAndCompute()
Detects keypoints and computes the descriptors.
◆ empty()
virtual bool cv::Feature2D::empty |
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const |
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Return true if detector object is empty.
Reimplemented from cv::Algorithm.
◆ getDefaultName()
virtual String cv::BRISK::getDefaultName |
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const |
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Returns the algorithm string identifier.
This string is used as top level xml/yml node tag when the object is saved to a file or string.
Reimplemented from cv::Feature2D.
◆ getOctaves()
virtual int cv::BRISK::getOctaves |
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const |
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inlinevirtual |
◆ getThreshold()
virtual int cv::BRISK::getThreshold |
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const |
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inlinevirtual |
◆ load()
◆ loadFromString()
template<typename _Tp >
static Ptr<_Tp> cv::Algorithm::loadFromString |
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const String & |
strModel, |
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const String & |
objname = String() |
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inlinestaticinherited |
◆ read() [1/2]
void cv::Feature2D::read |
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const String & |
fileName | ) |
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inherited |
◆ read() [2/2]
virtual void cv::Feature2D::read |
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const FileNode & |
fn | ) |
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virtualinherited |
Reads algorithm parameters from a file storage.
Reimplemented from cv::Algorithm.
◆ save()
virtual void cv::Algorithm::save |
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const String & |
filename | ) |
const |
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virtualinherited |
Saves the algorithm to a file.
In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).
◆ setOctaves()
virtual void cv::BRISK::setOctaves |
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int |
octaves | ) |
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inlinevirtual |
Set detection octaves.
- Parameters
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octaves | detection octaves. Use 0 to do single scale. |
◆ setThreshold()
virtual void cv::BRISK::setThreshold |
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int |
threshold | ) |
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inlinevirtual |
Set detection threshold.
- Parameters
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threshold | AGAST detection threshold score. |
◆ write() [1/3]
void cv::Feature2D::write |
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const String & |
fileName | ) |
const |
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inherited |
◆ write() [2/3]
virtual void cv::Feature2D::write |
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FileStorage & |
fs | ) |
const |
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virtualinherited |
Stores algorithm parameters in a file storage.
Reimplemented from cv::Algorithm.
◆ write() [3/3]
◆ writeFormat()
void cv::Algorithm::writeFormat |
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FileStorage & |
fs | ) |
const |
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protectedinherited |
The documentation for this class was generated from the following file: