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Proceedings Paper

Computing 3D head orientation from a monocular image sequence
Author(s): Thanarat Horprasert; Yaser Yacoob; Larry S. Davis
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Paper Abstract

An approach for estimating 3D head orientation in a monocular image sequence is proposed. The approach employs recently developed image-based parameterized tracking for face and face features to locate the area in which a sub- pixel parameterized shape estimation of the eye's boundary is performed. This involves tracking of five points (four at the eye corners and the fifth is the tip of the nose). We describe an approach that relies on the coarse structure of the face to compute orientation relative to the camera plane. Our approach employs projective invariance of the cross-ratios of the eye corners and anthropometric statistics to estimate the head yaw, roll and pitch. Analytical and experimental results are reported.

Paper Details

Date Published: 26 February 1997
PDF: 9 pages
Proc. SPIE 2962, 25th AIPR Workshop: Emerging Applications of Computer Vision, (26 February 1997); doi: 10.1117/12.267830
Show Author Affiliations
Thanarat Horprasert, Univ. of Maryland/College Park (United States)
Yaser Yacoob, Univ. of Maryland/College Park (United States)
Larry S. Davis, Univ. of Maryland/College Park (United States)


Published in SPIE Proceedings Vol. 2962:
25th AIPR Workshop: Emerging Applications of Computer Vision
David H. Schaefer; Elmer F. Williams, Editor(s)

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