vlfeat/vlfeat

Version 1.1.0.0 (3.09 MB) by Andrea Vedaldi
An open library of computer vision algorithms
2.3
(8)
4.7K Downloads
Updated 25 Aug 2022
View License on 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.

Cite As

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

MATLAB Release Compatibility
Created with R2011a
Compatible with any release
Platform Compatibility
Windows macOS Linux
Acknowledgements

Inspired: 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

Versions that use the GitHub default branch cannot be downloaded

Version Published Release Notes
1.1.0.0

Updates the description.
1.0.0.0

To view or report issues in this GitHub add-on, visit the GitHub Repository.
To view or report issues in this GitHub add-on, visit the GitHub Repository.