Publication | Closed Access
Vlfeat
2.7K
Citations
13
References
2010
Year
Unknown Venue
Image ClassificationPortable LibraryMachine VisionImage AnalysisFeature DetectionComputer Vision AlgorithmsPattern RecognitionObject DetectionEngineeringFeature (Computer Vision)Computer Vision ScientistsVision RecognitionComputer Vision
VLFeat is an open, portable library of computer vision algorithms with fully documented source code and interfaces. It aims at facilitating fast prototyping and reproducible research for computer vision scientists and students. It provides rigorous implementations of common building blocks—feature detectors, extractors, hierarchical k‑means clustering, randomized kd‑tree matching, and super‑pixelization—and integrates directly with MATLAB.
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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