Statistical shape analysis for face movement manifold modeling

Xiaokan Wang, Xia Mao, Catalin Daniel Caleanu, Mitsuru Ishizuka

研究成果: Article査読

抄録

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.

本文言語English
論文番号037004
ジャーナルOptical Engineering
51
3
DOI
出版ステータスPublished - 2012 3
外部発表はい

ASJC Scopus subject areas

  • 原子分子物理学および光学
  • 工学(全般)

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