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MSDDetector Class
Class implementing the MSD (Maximal Self-Dissimilarity) keypoint detector, described in "Federico Tombari and Luigi Di Stefano. Interest points via maximal self-dissimilarities. In Asian Conference on Computer Vision – ACCV 2014, 2014".
Inheritance Hierarchy

Namespace:  Emgu.CV.XFeatures2D
Assembly:  Emgu.CV.World (in Emgu.CV.World.dll) Version: (
public class MSDDetector : Feature2D

The MSDDetector type exposes the following members.

Public methodMSDDetector
Create a MSD (Maximal Self-Dissimilarity) keypoint detector.
Public propertyDescriptorSize
Get the number of elements in the descriptor.
(Inherited from Feature2D.)
Public propertyFeature2DPtr
Get the pointer to the Feature2D object
(Inherited from Feature2D.)
Public propertyPtr
Pointer to the unmanaged object
(Inherited from UnmanagedObject.)
Public methodCompute
Compute the descriptors on the image from the given keypoint locations.
(Inherited from Feature2D.)
Public methodDetect
Detect the keypoints from the image
(Inherited from Feature2D.)
Public methodDetectAndCompute
Detect keypoints in an image and compute the descriptors on the image from the keypoint locations.
(Inherited from Feature2D.)
Public methodDetectRaw
Detect the features in the image
(Inherited from Feature2D.)
Public methodDispose
The dispose function that implements IDisposable interface
(Inherited from DisposableObject.)
Protected methodDisposeObject
Release all the unmanaged resource associated with MSDDetector
(Overrides Feature2DDisposeObject.)
Public methodEquals (Inherited from Object.)
Protected methodFinalize
(Inherited from DisposableObject.)
Public methodGetHashCode (Inherited from Object.)
Public methodGetType (Inherited from Object.)
Protected methodMemberwiseClone (Inherited from Object.)
Protected methodReleaseManagedResources
Release the managed resources. This function will be called during the disposal of the current object. override ride this function if you need to call the Dispose() function on any managed IDisposable object created by the current object
(Inherited from DisposableObject.)
Public methodToString (Inherited from Object.)
Protected field_algorithm
The pointer to the Algorithm object.
(Inherited from Feature2D.)
Protected field_feature2D
The pointer to the Feature2D object
(Inherited from Feature2D.)
Protected field_ptr
A pointer to the unmanaged object
(Inherited from UnmanagedObject.)
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.
See Also