29 March 2012 Statistical shape analysis for face movement manifold modeling
Author Affiliations +
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.
© 2012 Society of Photo-Optical Instrumentation Engineers (SPIE)
Xiaokan Wang, Xia Mao, Catalin-Daniel Caleanu, Mitsuru Ishizuka, "Statistical shape analysis for face movement manifold modeling," Optical Engineering 51(3), 037004 (29 March 2012). https://doi.org/10.1117/1.OE.51.3.037004 . Submission:
JOURNAL ARTICLE
9 PAGES


SHARE
Back to Top