Trait opencv::prelude::HarrisLaplaceFeatureDetector

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pub trait HarrisLaplaceFeatureDetector: Feature2DTrait + HarrisLaplaceFeatureDetectorConst {
    // Required method
    fn as_raw_mut_HarrisLaplaceFeatureDetector(&mut self) -> *mut c_void;

    // Provided methods
    fn set_num_octaves(&mut self, num_octaves_: i32) -> Result<()> { ... }
    fn set_corn_thresh(&mut self, corn_thresh_: f32) -> Result<()> { ... }
    fn set_dog_thresh(&mut self, dog_thresh_: f32) -> Result<()> { ... }
    fn set_max_corners(&mut self, max_corners_: i32) -> Result<()> { ... }
    fn set_num_layers(&mut self, num_layers_: i32) -> Result<()> { ... }
}
Expand description

Class implementing the Harris-Laplace feature detector as described in Mikolajczyk2004.

Required Methods§

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fn as_raw_mut_HarrisLaplaceFeatureDetector(&mut self) -> *mut c_void

Provided Methods§

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fn set_num_octaves(&mut self, num_octaves_: i32) -> Result<()>

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fn set_corn_thresh(&mut self, corn_thresh_: f32) -> Result<()>

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fn set_dog_thresh(&mut self, dog_thresh_: f32) -> Result<()>

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fn set_max_corners(&mut self, max_corners_: i32) -> Result<()>

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fn set_num_layers(&mut self, num_layers_: i32) -> Result<()>

Implementations§

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impl dyn HarrisLaplaceFeatureDetector + '_

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pub fn create( num_octaves: i32, corn_thresh: f32, dog_thresh: f32, max_corners: i32, num_layers: i32 ) -> Result<Ptr<dyn HarrisLaplaceFeatureDetector>>

Creates a new implementation instance.

Parameters
  • 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
C++ default parameters
  • num_octaves: 6
  • corn_thresh: 0.01f
  • dog_thresh: 0.01f
  • max_corners: 5000
  • num_layers: 4

Implementors§