BRISK Class Reference
[Feature Detection and Description]

Clears the algorithm state.

Reimplemented in DescriptorMatcher, and FlannBasedMatcher.

Definition at line 3030 of file core.hpp.

Computes the descriptors for a set of keypoints detected in an image (first variant) or image set (second variant).

Parameters:

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.

This is an overloaded member function, provided for convenience. It differs from the above function only in what argument(s) it accepts.

Parameters:

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.

The BRISK constructor.

Parameters:

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.

The BRISK constructor for a custom pattern.

Parameters:

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.

This is an overloaded member function, provided for convenience. It differs from the above function only in what argument(s) it accepts.

Parameters:

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].

Detects keypoints in an image (first variant) or image set (second variant).

Parameters:

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.

Detects keypoints and computes the descriptors.

Return true if detector object is empty.

Reimplemented from Algorithm.

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.

Loads algorithm from the file.

Parameters:

filename	Name of the file to read.
objname	The optional name of the node to read (if empty, the first top-level node will be used)

This is static template method of Algorithm. It's usage is following (in the case of SVM):

     Ptr<SVM> svm = Algorithm::load<SVM>("my_svm_model.xml");

In order to make this method work, the derived class must overwrite Algorithm::read(const FileNode& fn).

Definition at line 3074 of file core.hpp.

Loads algorithm from a String.

Parameters:

strModel	The string variable containing the model you want to load.
objname	The optional name of the node to read (if empty, the first top-level node will be used)

This is static template method of Algorithm. It's usage is following (in the case of SVM):

     Ptr<SVM> svm = Algorithm::loadFromString<SVM>(myStringModel);

Definition at line 3094 of file core.hpp.

Reads algorithm parameters from a file storage.

Reimplemented from Algorithm.

Saves the algorithm to a file.

In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

Stores algorithm parameters in a file storage.

Reimplemented from Algorithm.