Technical GlossaryComputer Vision
HOG Features
A classical feature extraction approach that represents shape and edge structure through local gradient orientation distributions.
HOG features were one of the strong representation tools of the classical era, especially for human detection and shape-based vision tasks. They summarize local gradient patterns to capture object form more directly. Although CNN-based representations dominate today, HOG is still used in some systems thanks to its low computational cost and interpretability.
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