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Optical Engineering

Statistical shape analysis for face movement manifold modeling
Author(s): Xiaokan Wang; Xia Mao; Catalin-Daniel Caleanu; Mitsuru Ishizuka
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Paper Abstract

The inter-frame information for analyzing human face movement manifold is modeled by the statistical shape theory. Using the Riemannian geometry principles, we map a sequence of face shapes to a unified tangent space and obtain a curve corresponding to the face movement. The experimental results show that the face movement sequence forms a trajectory in a complex tangent space. Furthermore, the extent and type of face expression could be depicted as the range and direction of the curve. This represents a novel approach for face movement classification using shape-based analysis.

Paper Details

Date Published: 29 March 2012
PDF: 9 pages
Opt. Eng. 51(3) 037004 doi: 10.1117/1.OE.51.3.037004
Published in: Optical Engineering Volume 51, Issue 3
Show Author Affiliations
Xiaokan Wang, BeiHang Univ. (China)
Xia Mao, BeiHang Univ. (China)
Catalin-Daniel Caleanu, Politehnica Univ. Timisoara (Romania)
Mitsuru Ishizuka, The Univ. of Tokyo (Japan)


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