[−][src]Trait opencv::prelude::MSDDetectorTrait

pub trait MSDDetectorTrait: Feature2DTrait {
    pub fn as_raw_MSDDetector(&self) -> *const c_void;
    pub fn as_raw_mut_MSDDetector(&mut self) -> *mut c_void;
}

Class implementing the MSD (Maximal Self-Dissimilarity) keypoint detector, described in Tombari14.

The algorithm implements a novel interest point detector stemming from the intuition that image patches which are highly dissimilar over a relatively large extent of their surroundings hold the property of being repeatable and distinctive. This concept of "contextual self-dissimilarity" reverses the key paradigm of recent successful techniques such as the Local Self-Similarity descriptor and the Non-Local Means filter, which build upon the presence of similar - rather than dissimilar - patches. Moreover, it extends to contextual information the local self-dissimilarity notion embedded in established detectors of corner-like interest points, thereby achieving enhanced repeatability, distinctiveness and localization accuracy.