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Namespace OpenCvSharp.Flann

Classes

AutotunedIndexParams

hierarchical k-means tree.

CompositeIndexParams

When using a parameters object of this type the index created combines the randomized kd-trees and the hierarchical k-means tree.

Index

The FLANN nearest neighbor index class.

IndexParams

KDTreeIndexParams

When passing an object of this type the index constructed will consist of a set of randomized kd-trees which will be searched in parallel.

KMeansIndexParams

When passing an object of this type the index constructed will be a hierarchical k-means tree.

LinearIndexParams

the index will perform a linear, brute-force search.

LshIndexParams

When using a parameters object of this type the index created uses multi-probe LSH (by Multi-Probe LSH: Efficient Indexing for High-Dimensional Similarity Search by Qin Lv, William Josephson, Zhe Wang, Moses Charikar, Kai Li., Proceedings of the 33rd International Conference on Very Large Data Bases (VLDB). Vienna, Austria. September 2007)

SavedIndexParams

This object type is used for loading a previously saved index from the disk.

SearchParams

Enums

FlannCentersInit

The algorithm to use for selecting the initial centers when performing a k-means clustering step.

FlannDistance

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