articleOct 25, 2010Closed access

Vlfeat

University of Oxford · University of California, Los Angeles

Indexed incrossref

Abstract

VLFeat is an open and portable library of computer vision algorithms. It aims at facilitating fast prototyping and reproducible research for computer vision scientists and students. It includes rigorous implementations of common building blocks such as feature detectors, feature extractors, (hierarchical) k-means clustering, randomized kd-tree matching, and super-pixelization. The source code and interfaces are fully documented. The library integrates directly with MATLAB, a popular language for computer vision research.

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2,716
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Authors

2

Topics & keywords

Keywords
  • Computer science
  • Implementation
  • Cluster analysis
  • MATLAB
  • Source code
  • Feature (linguistics)
  • Open source
  • Tree (set theory)
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