• Corpus ID: 145043385

Face Tracking with Multilinear ( Tensor ) Active Appearance Models

@inproceedings{Si2019FaceTW,
  title={Face Tracking with Multilinear ( Tensor ) Active Appearance Models},
  author={Weiguang Si and Kota Yamaguchi and M. Alex O. Vasilescu},
  year={2019}
}
Face tracking in an unconstrained environment must contend with images that vary with viewpoint, illumination, expression, identity, and other causal factors. In a statistical approach, the multifactor nature of the image data makes the aforementioned problem amenable to analysis in a multilinear framework. In this paper, we propose Multilinear (Tensor) Active Appearance Models (MAAMs). The MAAM is a multilinear statistical model of facial appearance and shape that generalizes the linear Active… 

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