title: Active testing for face detection and localization.
abstract: 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.
authors.affiliation: Department of Computer Science, The Johns Hopkins University, CSEB Room 136, 3400 North Charles Street, Baltimore, MD 21218, USA. sznitman@jhu.edu
authors.forename: Raphael
authors.initials: R
authors.lastname: Sznitman
authors.forename: Bruno
authors.initials: B
authors.lastname: Jedynak
mesh_terms: D000465:Algorithms; D001185:Artificial Intelligence; D005145:Face / Q000033:anatomy & histology*; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D010363:Pattern Recognition, Automated / Q000379:methods*