Active Testing for Face Detection and Localization

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 l...

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Bibliographic Details
Published inarXiv.org
Main Authors Sznitman, Raphael, Jedynak, Bruno
Format Paper Journal Article
LanguageEnglish
Published Ithaca Cornell University Library, arXiv.org 27.03.2010
Subjects
Computer Science - Computer Vision and Pattern Recognition
Face recognition
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Summary: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.
ISSN:2331-8422
DOI:10.48550/arxiv.1003.5249