Package org.opencv.xfeatures2d
Class MSDDetector
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- org.opencv.core.Algorithm
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- org.opencv.features2d.Feature2D
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- org.opencv.xfeatures2d.MSDDetector
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public class MSDDetector extends Feature2D
Class implementing the MSD (*Maximal Self-Dissimilarity*) keypoint detector, described in CITE: 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.
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Constructor Summary
Constructors Modifier Constructor Description protectedMSDDetector(long addr)
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Method Summary
All Methods Static Methods Instance Methods Concrete Methods Modifier and Type Method Description static MSDDetector__fromPtr__(long addr)protected voidfinalize()-
Methods inherited from class org.opencv.features2d.Feature2D
compute, compute, defaultNorm, descriptorSize, descriptorType, detect, detect, detect, detect, detectAndCompute, detectAndCompute, empty, getDefaultName, read, write
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Methods inherited from class org.opencv.core.Algorithm
clear, getNativeObjAddr, save
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Method Detail
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__fromPtr__
public static MSDDetector __fromPtr__(long addr)
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