Computing 3D head orientation from a monocular image sequence

Thanarat Horprasert; Yaser Yacoob; Larry S. Davis

doi:10.1117/12.267830

26 February 1997 Computing 3D head orientation from a monocular image sequence

Thanarat Horprasert, Yaser Yacoob, Larry S. Davis

Proceedings Volume 2962, 25th AIPR Workshop: Emerging Applications of Computer Vision; (1997) https://doi.org/10.1117/12.267830
Event: 25th Annual AIPR Workshop on Emerging Applications of Computer Vision, 1996, Washington, DC, United States

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.

Citation Download Citation

Thanarat Horprasert, Yaser Yacoob, and Larry S. Davis "Computing 3D head orientation from a monocular image sequence", Proc. SPIE 2962, 25th AIPR Workshop: Emerging Applications of Computer Vision, (26 February 1997); https://doi.org/10.1117/12.267830

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