Wide-Range, Person- and Illumination-Insensitive Head Orientation Estimation

  title={Wide-Range, Person- and Illumination-Insensitive Head Orientation Estimation},
  author={Ying Wu and Kentaro Toyama},
We present an algorithm for estimation of head orientation, given cropped images of a subject’s head from any viewpoint. Our algorithm handles dramatic changes in illumination, applies to many people without per-user initialization, and covers a wider range (e.g., side and back) of head orientations than previous algorithms. The algorithm builds an ellipsoidal model of the head, where points on the model maintain probabilistic information about surface edge density. To collect data for each… CONTINUE READING
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