pub trait ORBConst: Feature2DTraitConst {
    fn as_raw_ORB(&self) -> *const c_void;

    fn get_max_features(&self) -> Result<i32> { ... }
    fn get_scale_factor(&self) -> Result<f64> { ... }
    fn get_n_levels(&self) -> Result<i32> { ... }
    fn get_edge_threshold(&self) -> Result<i32> { ... }
    fn get_first_level(&self) -> Result<i32> { ... }
    fn get_wta_k(&self) -> Result<i32> { ... }
    fn get_score_type(&self) -> Result<ORB_ScoreType> { ... }
    fn get_patch_size(&self) -> Result<i32> { ... }
    fn get_fast_threshold(&self) -> Result<i32> { ... }
    fn get_default_name(&self) -> Result<String> { ... }
}
Expand description

Class implementing the ORB (oriented BRIEF) keypoint detector and descriptor extractor

described in RRKB11 . The algorithm uses FAST in pyramids to detect stable keypoints, selects the strongest features using FAST or Harris response, finds their orientation using first-order moments and computes the descriptors using BRIEF (where the coordinates of random point pairs (or k-tuples) are rotated according to the measured orientation).

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