This paper provides a comprehensive survey on the techniques for human
facial modeling and animation. The survey is carried out from two
different perspectives: facial modeling, which concerns how to produce
3D face models, and facial animation, which regards how to synthesize
dynamic facial expressions. To generate an individual face model,
we can either perform individualization of a generic model or combine
face models from an existing face collection. With respect to facial
animation, we have further categorized the techniques into simulation-based,
performance-driven and shape blend-based approaches. The strength
and weakness of these techniques within each category are discussed,
alongside with the applications of these techniques to various exploitations.
In addition, a brief historical review of the technique evolution
is provided. Limitations and future trend are discussed. Conclusions
are drawn at the end of the paper.
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