29 March 2012 Statistical shape analysis for face movement manifold modeling
Author Affiliations +
Optical Engineering, 51(3), 037004 (2012). doi:10.1117/1.OE.51.3.037004
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

Shape analysis

Statistical modeling

Facial recognition systems

Optical engineering

Motion analysis

3D modeling

Statistical analysis

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