Struct opencv::features2d::BRISK[][src]

pub struct BRISK { /* fields omitted */ }
Expand description

Class implementing the BRISK keypoint detector and descriptor extractor, described in LCS11 .

Implementations

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.
C++ default parameters
  • thresh: 30
  • octaves: 3
  • pattern_scale: 1.0f

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.
C++ default parameters
  • d_max: 5.85f
  • d_min: 8.2f
  • index_change: std::vector()

The BRISK constructor for a custom pattern, detection threshold and octaves

Parameters
  • 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.
C++ default parameters
  • d_max: 5.85f
  • d_min: 8.2f
  • index_change: std::vector()

Trait Implementations

Clears the algorithm state

Reads algorithm parameters from a file storage

Stores algorithm parameters in a file storage

simplified API for language bindings Stores algorithm parameters in a file storage Read more

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs). Read more

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. Read more

Set detection threshold. Read more

Set detection octaves. Read more

Wrap the specified raw pointer Read more

Return an the underlying raw pointer while consuming this wrapper. Read more

Return the underlying raw pointer. Read more

Return the underlying mutable raw pointer Read more

Executes the destructor for this type. Read more

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

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

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

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

Detects keypoints and computes the descriptors Read more

Return true if detector object is empty

C++ default parameters Read more

Performs the conversion.

Performs the conversion.

The type returned in the event of a conversion error.

Performs the conversion.

Auto Trait Implementations

Blanket Implementations

Gets the TypeId of self. Read more

Immutably borrows from an owned value. Read more

Mutably borrows from an owned value. Read more

Performs the conversion.

Performs the conversion.

The type returned in the event of a conversion error.

Performs the conversion.

The type returned in the event of a conversion error.

Performs the conversion.