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.
引用格式
Andrea Vedaldi (2025). vlfeat/vlfeat (https://github.com/vlfeat/vlfeat), GitHub. 检索时间: .
MATLAB 版本兼容性
平台兼容性
Windows macOS Linux类别
- Image Processing and Computer Vision > Computer Vision Toolbox > Feature Detection and Extraction >
- Image Processing and Computer Vision > Computer Vision Toolbox > Recognition, Object Detection, and Semantic Segmentation >
标签
致谢
启发作品: electroCUDA
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!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
无法下载基于 GitHub 默认分支的版本
版本 | 已发布 | 发行说明 | |
---|---|---|---|
1.1.0.0 | Updates the description. |
|
|
1.0.0.0 |
|