OpenCvSharp.Flann Namespace |
Classes| Class | Description | |
|---|---|---|
 | 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 |
Enumerations| Enumeration | Description | |
|---|---|---|
 | FlannCentersInit |
The algorithm to use for selecting the initial centers when performing a k-means clustering step.
|
| FlannDistance |