Emgu.CV.Flann Namespace |
Fast Library for Approximate Nearest Neighbors (Marius Muja and David Lowe)
Classes| Class | Description | |
|---|---|---|
 | AutotunedIndexParams |
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.
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| CompositeIndexParams |
When using a parameters object of this type the index created combines the randomized kd-trees and the hierarchical k-means tree.
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| HierarchicalClusteringIndexParams |
Hierarchical Clustering Index Parameters
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| Index |
Flann index
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| Index3D |
Create index for 3D points
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| 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.
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| KMeansIndexParams |
When passing an object of this type the index constructed will be a hierarchical k-means tree.
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| LinearIndexParams |
When passing an object of this type, the index will perform a linear, brute-force search.
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| 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)
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| SearchParams |
Search parameters
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Structures| Structure | Description | |
|---|---|---|
 | Index3DNeighbor |
A neighbor point
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Interfaces| Interface | Description | |
|---|---|---|
 | IIndexParams |
The index parameters interface
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Enumerations| Enumeration | Description | |
|---|---|---|
 | CenterInitType |
The Kmeans center initiation types
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| DistType |
Distance Type
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