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Emgu.CV.Flann Namespace
http://www.emgu.com
Fast Library for Approximate Nearest Neighbors (Marius Muja and David Lowe)
Classes
  ClassDescription
Public classAutotunedIndexParamses
When passing an object of this type the index created is automatically tuned to offer the best performance, by choosing the optimal index type (randomized kd-trees, hierarchical kmeans, linear) and parameters for the dataset provided.
Public classCompositeIndexParamses
When using a parameters object of this type the index created combines the randomized kd-trees and the hierarchical k-means tree.
Public classHierarchicalClusteringIndexParams
Hierarchical Clustering Index Parameters
Public classIndex
Flann index
Public classIndex3D
Create index for 3D points
Public classKdTreeIndexParamses
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.
Public classKMeansIndexParamses
When passing an object of this type the index constructed will be a hierarchical k-means tree.
Public classLinearIndexParams
When passing an object of this type, the index will perform a linear, brute-force search.
Public classLshIndexParamses
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)
Public classSearchParams
Search parameters
Interfaces
  InterfaceDescription
Public interfaceIIndexParams
The index parameters interface
Enumerations
  EnumerationDescription
Public enumerationCenterInitType
The Kmeans center initiation types