Active Testing for Face Detection and Localization

Computer Science – Computer Vision and Pattern Recognition

Scientific paper

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16 pages, 5 figures, accepted in IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2010

Scientific paper

We provide a novel search technique, which uses a hierarchical model and a
mutual information gain heuristic to efficiently prune the search space when
localizing faces in images. We show exponential gains in computation over
traditional sliding window approaches, while keeping similar performance
levels.

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