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static CV_WRAP Ptr< FREAK > | create (bool orientationNormalized=true, bool scaleNormalized=true, float patternScale=22.0f, int nOctaves=4, const std::vector< int > &selectedPairs=std::vector< int >()) |
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template<typename _Tp > |
static Ptr< _Tp > | read (const FileNode &fn) |
| Reads algorithm from the file node [詳解]
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template<typename _Tp > |
static Ptr< _Tp > | load (const String &filename, const String &objname=String()) |
| Loads algorithm from the file [詳解]
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template<typename _Tp > |
static Ptr< _Tp > | loadFromString (const String &strModel, const String &objname=String()) |
| Loads algorithm from a String [詳解]
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virtual CV_WRAP void | detect (InputArray image, CV_OUT std::vector< KeyPoint > &keypoints, InputArray mask=noArray()) |
| Detects keypoints in an image (first variant) or image set (second variant). [詳解]
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virtual CV_WRAP void | detect (InputArrayOfArrays images, CV_OUT std::vector< std::vector< KeyPoint > > &keypoints, InputArrayOfArrays masks=noArray()) |
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virtual CV_WRAP void | compute (InputArray image, CV_OUT CV_IN_OUT 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). [詳解]
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virtual CV_WRAP void | compute (InputArrayOfArrays images, CV_OUT CV_IN_OUT std::vector< std::vector< KeyPoint > > &keypoints, OutputArrayOfArrays descriptors) |
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virtual CV_WRAP void | detectAndCompute (InputArray image, InputArray mask, CV_OUT std::vector< KeyPoint > &keypoints, OutputArray descriptors, bool useProvidedKeypoints=false) |
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virtual CV_WRAP int | descriptorSize () const |
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virtual CV_WRAP int | descriptorType () const |
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virtual CV_WRAP int | defaultNorm () const |
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CV_WRAP void | write (const String &fileName) const |
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CV_WRAP void | read (const String &fileName) |
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virtual void | write (FileStorage &) const CV_OVERRIDE |
| Stores algorithm parameters in a file storage [詳解]
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virtual CV_WRAP void | read (const FileNode &) CV_OVERRIDE |
| Reads algorithm parameters from a file storage [詳解]
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virtual CV_WRAP bool | empty () const CV_OVERRIDE |
| Return true if detector object is empty [詳解]
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virtual CV_WRAP String | getDefaultName () const CV_OVERRIDE |
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CV_WRAP void | write (const Ptr< FileStorage > &fs, const String &name=String()) const |
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virtual CV_WRAP void | clear () |
| Clears the algorithm state [詳解]
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CV_WRAP void | write (const Ptr< FileStorage > &fs, const String &name=String()) const |
| simplified API for language bindings これはオーバーロードされたメンバ関数です。利便性のために用意されています。元の関数との違いは引き数のみです。
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virtual CV_WRAP void | save (const String &filename) const |
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void | writeFormat (FileStorage &fs) const |
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Class implementing the FREAK (Fast Retina Keypoint) keypoint descriptor, described in [AOV12] .
The algorithm propose a novel keypoint descriptor inspired by the human visual system and more precisely the retina, coined Fast Retina Key- point (FREAK). A cascade of binary strings is computed by efficiently comparing image intensities over a retinal sampling pattern. FREAKs are in general faster to compute with lower memory load and also more robust than SIFT, SURF or BRISK. They are competitive alternatives to existing keypoints in particular for embedded applications.
- 覚え書き
- An example on how to use the FREAK descriptor can be found at opencv_source_code/samples/cpp/freak_demo.cpp