Class implementing the Harris-Laplace feature detector as described in [140].
More...
#include "xfeatures2d.hpp"
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virtual | ~Feature2D () |
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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) |
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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()) |
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virtual void | detectAndCompute (InputArray image, InputArray mask, std::vector< KeyPoint > &keypoints, OutputArray descriptors, bool useProvidedKeypoints=false) |
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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 |
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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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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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| Algorithm () |
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virtual | ~Algorithm () |
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virtual void | clear () |
| Clears the algorithm state. More...
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virtual void | save (const String &filename) const |
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void | write (const Ptr< FileStorage > &fs, const String &name=String()) const |
| simplified API for language bindings 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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void | writeFormat (FileStorage &fs) const |
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Class implementing the Harris-Laplace feature detector as described in [140].
§ create()
static Ptr<HarrisLaplaceFeatureDetector> cv::xfeatures2d::HarrisLaplaceFeatureDetector::create |
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int |
numOctaves = 6 , |
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float |
corn_thresh = 0.01f , |
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float |
DOG_thresh = 0.01f , |
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int |
maxCorners = 5000 , |
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int |
num_layers = 4 |
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static |
Python: |
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| retval | = | cv.xfeatures2d.HarrisLaplaceFeatureDetector_create( | [, numOctaves[, corn_thresh[, DOG_thresh[, maxCorners[, num_layers]]]]] | ) |
Creates a new implementation instance.
- Parameters
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numOctaves | the number of octaves in the scale-space pyramid |
corn_thresh | the threshold for the Harris cornerness measure |
DOG_thresh | the threshold for the Difference-of-Gaussians scale selection |
maxCorners | the maximum number of corners to consider |
num_layers | the number of intermediate scales per octave |
The documentation for this class was generated from the following file:
- /build/master-contrib_docs-lin64/opencv_contrib/modules/xfeatures2d/include/opencv2/xfeatures2d.hpp