VLFeat
2 reviews
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VLFeat
VLFeat is an open source library that implements popular computer vision algorithms specializing in image understanding and local features extraction and matching, it include Fisher Vector, VLAD, SIFT, MSER, k-means, hierarchical k-means, agglomerative information bottleneck, SLIC superpixels, quick shift superpixels, large scale SVM training, and many others. It is written in C for efficiency and compatibility, with interfaces in MATLAB for ease of use, and detailed documentation throughout. It supports Windows, Mac OS X, and Linux.
MatConvNet
MatConvNet is a MATLAB toolbox implementing Convolutional Neural Networks (CNNs) for computer vision applications.
VLFeat Reviews
AB
Akram B.
Lacks Documentation Depth
Vlfeat is so cool. A computer vision researcher of the VLFeat will be a glad guy. It massively widens the choice of perfectly crafted blocks for the image recognition, like SIFT and Fisher Vectors. Here, they can be simply grabbed and built over. Thus, this open-source library saves one times and efforts of development.
JT
James T.
An extensive computer vision library
Many good baselines for popular computer vision techniques such as SIFT and HOG, along with a good SVM implementation. Also good documentation.
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