Fast individual facial animation framework based on motion capture data

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Authors: Zhang, M., Ge, X., Liu, S., Xiao, Z., You, L. and Zhang, J.J.

Journal: Journal of Donghua University

Volume: 31

Issue: 3

Pages: 256-261

ISSN: 1672-5220

This source preferred by Lihua You and Jian Jun Zhang

This data was imported from Scopus:

Authors: Zhang, M.D., Ge, X.J., Liu, S., Xiao, Z.D., You, L.H. and Zhang, J.J.

Journal: Journal of Donghua University (English Edition)

Volume: 31

Issue: 3

Pages: 256-261

ISSN: 1672-5220

Copyright © 2014 Editorial Department of Journal of Donghua University. All rights reserved Based upon motion capture, a semi-automatic technique for fast facial animation was implemented. While capturing the facial expressions from a performer, a camera was used to record her/his front face as a texture map. The radial basis function (RBF) technique was utilized to deform a generic facial model and the texture was remapped to generate a personalized face. Partitioning the personalized face into three regions and using the captured facial expression data, the RBF and Laplacian operator, and mean-value coordinates were implemented to deform each region respectively. With shape blending, the three regions were combined together to construct the final face model. Our results show that the technique is efficient in generating realistic facial animation.

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