Efficient Face Orientation Discrimination (MP-L1)

Author(s) : Shumeet Baluja (Google, USA) Mehran Sahami (Google, USA) Henry Rowley (Google, USA)

Abstract : This paper presents efficient methods to address the problem of discriminating between five facial orientations. We present the most efficient methods for this task to date; we can accurately discriminate between five facial orientations with greater than 90% accuracy using fewer than 30 pixel comparisons and greater than 99% accuracy using 150 pixel comparisons. We achieve these rates by using a boosting method to select from a large set of extremely simple features. Comparisons to other methods are given.

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