Fast face detection with precise pose estimation

We present a fast algorithm for face detection and precise pose estimation. Our detection scheme is based on a tree-structured hierarchy of face vs. background classifiers combined with a lazy evaluation strategy which concentrates computation on ambiguous areas of the image. The hierarchy corresponds to successive partitions of the pose parameter space, and thereby provides, at no additional cost, a fine estimate of the 2D pose of detected faces.

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