Class implementing affine adaptation for key points.
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#include <opencv2/xfeatures2d.hpp>
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virtual void | detect (InputArray image, std::vector< Elliptic_KeyPoint > &keypoints, InputArray mask=noArray())=0 |
| Detects keypoints in the image using the wrapped detector and performs affine adaptation to augment them with their elliptic regions.
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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).
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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< Elliptic_KeyPoint > &keypoints, OutputArray descriptors, bool useProvidedKeypoints=false)=0 |
| Detects keypoints and computes descriptors for their surrounding regions, after warping them into circles.
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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 | ~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).
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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 bool | empty () const CV_OVERRIDE |
| Return true if detector object is empty.
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virtual String | getDefaultName () const CV_OVERRIDE |
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virtual void | read (const FileNode &) CV_OVERRIDE |
| Reads algorithm parameters from a file storage.
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void | read (const String &fileName) |
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void | write (const Ptr< FileStorage > &fs, const String &name) const |
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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.
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void | write (FileStorage &fs, const String &name) const |
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| Algorithm () |
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virtual | ~Algorithm () |
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virtual void | clear () |
| Clears the algorithm state.
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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 |
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void | write (FileStorage &fs, const String &name) const |
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Class implementing affine adaptation for key points.
A FeatureDetector and a DescriptorExtractor are wrapped to augment the detected points with their affine invariant elliptic region and to compute the feature descriptors on the regions after warping them into circles.
The interface is equivalent to Feature2D, adding operations for Elliptic_KeyPoints instead of KeyPoints.
◆ create() [1/2]
Creates an instance where keypoint detector and descriptor extractor are identical.
◆ create() [2/2]
Creates an instance wrapping the given keypoint detector and descriptor extractor.
◆ detect() [1/3]
Detects keypoints in the image using the wrapped detector and performs affine adaptation to augment them with their elliptic regions.
◆ detect() [2/3]
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. |
Reimplemented from cv::Feature2D.
◆ detect() [3/3]
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]. |
Reimplemented from cv::Feature2D.
◆ detectAndCompute() [1/2]
Detects keypoints and computes descriptors for their surrounding regions, after warping them into circles.
◆ detectAndCompute() [2/2]
Detects keypoints and computes the descriptors
Reimplemented from cv::Feature2D.
The documentation for this class was generated from the following file: