Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/84786
Title: Dimensionality reduction for computer facial animation
Authors: Tsai, Flora S.
Keywords: DRNTU::Engineering::Electrical and electronic engineering
Issue Date: 2011
Series/Report no.: Expert systems with applications
Abstract: This paper describes the usage of dimensionality reduction techniques for computer facial animation. Techniques such as Principal Components Analysis (PCA), Expectation–Maximization (EM) algorithm for PCA, Multidimensional Scaling (MDS), and Locally Linear Embedding (LLE) are compared for the purpose of facial animation of different emotions. The experimental results on our facial animation data demonstrate the usefulness of dimensionality reduction techniques for both space and time reduction. In particular, the EMPCA algorithm performed especially well in our dataset, with negligible error of only 1–2%.
URI: https://hdl.handle.net/10356/84786
http://hdl.handle.net/10220/11106
DOI: 10.1016/j.eswa.2011.10.018
Rights: © 2011 Elsevier Ltd.
Fulltext Permission: none
Fulltext Availability: No Fulltext
Appears in Collections:EEE Journal Articles

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