VLFeat
Curated by SignalOpen source library of computer vision algorithms
Overview
VLFeat is an open source library of computer vision algorithms that aims at facilitating prototyping and reproducible research for computer vision scientists and students. Featured algorithms include Fisher Vector, VLAD, SIFT, MSER, k-means, hierarchical k-means, agglomerative information bottleneck, SLIC superpixels, quick shift superpixels, large-scale SVM training etc. The library is written in C and integrates directly with MATLAB, a language for computer vision research. It is compatible with Windows, Mac OS X, and Linux.
Key facts
- Founded
- 2007
- Headquarters
- Oxford, United Kingdom
- Stage
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- Industry
- High Technology
Business model
- 4 products and services
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