Head Pose estimation on low resolution images

Authors:
Nicolas Gourier;Jérôme Maisonnasse;Daniela Hall;James L. Crowley
Affiliations:
PRIMA, GRAVIR-IMAG, INRIA Rhône-Alpes, St. Ismier, France;PRIMA, GRAVIR-IMAG, INRIA Rhône-Alpes, St. Ismier, France;PRIMA, GRAVIR-IMAG, INRIA Rhône-Alpes, St. Ismier, France;PRIMA, GRAVIR-IMAG, INRIA Rhône-Alpes, St. Ismier, France
Venue:
CLEAR'06 Proceedings of the 1st international evaluation conference on Classification of events, activities and relationships
Year:
2006

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Abstract

This paper addresses the problem of estimating head pose over a wide range of angles from low-resolution images. Faces are detected using chrominance-based features. Grey-level normalized face imagettes serve as input for linear auto-associative memory. One memory is computed for each pose using a Widrow-Hoff learning rule. Head pose is classified with a winner-takes-all process. We compare results from our method with abilities of human subjects to estimate head pose from the same data set. Our method achieves similar results in estimating orientation in tilt (head nodding) angle, and higher precision for estimating orientation in the pan (side-to-side) angle.