vlfeat/vlfeat

Versión 1.1.0.0 (3,09 MB) por Andrea Vedaldi
An open library of computer vision algorithms
2.3
(8)
4,7K Descargas
Actualizado 25 ago 2022
Ver licencia en GitHub

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.

Citar como

Andrea Vedaldi (2024). vlfeat/vlfeat (https://github.com/vlfeat/vlfeat), GitHub. Recuperado .

Compatibilidad con la versión de MATLAB
Se creó con R2011a
Compatible con cualquier versión
Compatibilidad con las plataformas
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Agradecimientos

Inspiración para: electroCUDA

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apps

apps/recognition

toolbox

toolbox/aib

toolbox/demo

toolbox/fisher

toolbox/geometry

toolbox/gmm

toolbox/imop

toolbox/kmeans

toolbox/misc

toolbox/mser

toolbox/plotop

toolbox/quickshift

toolbox/sift

toolbox/slic

toolbox/special

toolbox/vlad

toolbox/xtest

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Versión Publicado Notas de la versión
1.1.0.0

Updates the description.
1.0.0.0

Para consultar o notificar algún problema sobre este complemento de GitHub, visite el repositorio de GitHub.
Para consultar o notificar algún problema sobre este complemento de GitHub, visite el repositorio de GitHub.