vlfeat/vlfeat
An open library of computer vision algorithms
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Please refer to the project homepage (http://www.vlfeat.org) for software releases, binary packages, documentation, examples, and tutorials.
VLFeat is a popular library of computer vision algorithms with a focus on local features (SIFT, LIOP, Harris Affine, MSER, etc) and image understanding (HOG, Fisher Vectors, VLAD, large scale discriminative learning).
VLFeat is used in research for fast prototyping, as well as in education as the basis of several computer vision laboratories. It is fully integrated in MATLAB, but provides a C API as well.
VLFeat has been under development since 2007 and has been cited in more than 950 scientific publications.
VLFeat is authored by a team of computer vision researchers at Oxford, UCLA, and several other institutions as well as individual contributors. It is released under the BSD license.
Cita come
Andrea Vedaldi (2026). vlfeat/vlfeat (https://github.com/vlfeat/vlfeat), GitHub. Recuperato .
Riconoscimenti
Ispirato: electroCUDA
Informazioni generali
Compatibilità della release di MATLAB
- Compatibile con qualsiasi release
Compatibilità della piattaforma
- Windows
- macOS
- Linux
Le versioni che utilizzano il ramo predefinito di GitHub non possono essere scaricate
| Versione | Pubblicato | Note della release | Action |
|---|---|---|---|
| 1.1.0.0 | Updates the description. |
||
| 1.0.0.0 |
