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.
Raphael et al. REF provided a novel search technique using mutation information gain heuristic and hierarchical model to efficiently prune search space and proposed an active testing framework which performs faster face detection and localization in images.
Active Testing for Face Detection and Localization
IEEE transactions on pattern analysis and machine intelligence
IEEE transactions on pattern analysis and machine intelligence
Computer Science Medicine