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KNearestNeighborMatching Class

Nearest neighbor feature point matching algorithm.
Inheritance Hierarchy

Namespace:  Accord.Imaging
Assembly:  Accord.Vision (in Accord.Vision.dll) Version: 3.7.0
public class KNearestNeighborMatching : KNearestNeighborMatching<double[]>
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The KNearestNeighborMatching type exposes the following members.

Protected methodCreateNeighbors
Creates a nearest neighbor algorithm with the feature points as inputs and their respective indices a the corresponding output.
(Overrides KNearestNeighborMatchingTCreateNeighbors(T).)
Public methodEquals
Determines whether the specified object is equal to the current object.
(Inherited from Object.)
Protected methodFinalize
Allows an object to try to free resources and perform other cleanup operations before it is reclaimed by garbage collection.
(Inherited from Object.)
Public methodGetHashCode
Serves as the default hash function.
(Inherited from Object.)
Public methodGetType
Gets the Type of the current instance.
(Inherited from Object.)
Public methodMatch(IFeaturePointT, IFeaturePointT)
Matches two sets of feature points.
(Inherited from KNearestNeighborMatchingT.)
Public methodMatch(IEnumerableIFeaturePointT, IEnumerableIFeaturePointT)
Matches two sets of feature points.
(Inherited from KNearestNeighborMatchingT.)
Protected methodMemberwiseClone
Creates a shallow copy of the current Object.
(Inherited from Object.)
Public methodToString
Returns a string that represents the current object.
(Inherited from Object.)
Extension Methods
Public Extension MethodHasMethod
Checks whether an object implements a method with the given name.
(Defined by ExtensionMethods.)
Public Extension MethodIsEqual
Compares two objects for equality, performing an elementwise comparison if the elements are vectors or matrices.
(Defined by Matrix.)
Public Extension MethodToT
Converts an object into another type, irrespective of whether the conversion can be done at compile time or not. This can be used to convert generic types to numeric types during runtime.
(Defined by ExtensionMethods.)

This class matches feature points using a k-Nearest Neighbors algorithm.

See Also