[][src]Struct opencv::xfeatures2d::HarrisLaplaceFeatureDetector

pub struct HarrisLaplaceFeatureDetector { /* fields omitted */ }

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

Methods

impl HarrisLaplaceFeatureDetector[src]

impl HarrisLaplaceFeatureDetector[src]

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

Trait Implementations

impl AlgorithmTrait for HarrisLaplaceFeatureDetector[src]

impl Send for HarrisLaplaceFeatureDetector[src]

impl Drop for HarrisLaplaceFeatureDetector[src]

Auto Trait Implementations

Blanket Implementations

impl<T, U> Into<U> for T where
    U: From<T>, 
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impl<T> From<T> for T[src]

impl<T, U> TryFrom<U> for T where
    U: Into<T>, 
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type Error = Infallible

The type returned in the event of a conversion error.

impl<T, U> TryInto<U> for T where
    U: TryFrom<T>, 
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type Error = <U as TryFrom<T>>::Error

The type returned in the event of a conversion error.

impl<T> Borrow<T> for T where
    T: ?Sized
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impl<T> BorrowMut<T> for T where
    T: ?Sized
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impl<T> Any for T where
    T: 'static + ?Sized
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