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A Method for Deforming-Driven Exaggerated Facial Animation Generation

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3 Author(s)
Ping Wei ; Inst. of Artificial Intell. & Robot., Xian Jiaotong Univ., Xian ; Yuehu Liu ; Yuanqi Su

This paper proposes a method for automatically generating facial animation with exaggerated features from a facial image. According to facial diversity and identity, an exaggerated face can be determined by the neutral face and the exaggeration effect difference that is represented with the deforming parameters. The proposed method utilizes the central point and the feature vector to represent a facial component and then transforms these feature vectors under the control of deforming parameters to generate the exaggerated facial features. The exaggerated facial animation can be driven to generate by the sequence of the deforming parameters. Experimental results prove that the proposed method has the advantages of simplicity, flexibility and directness, and the generated facial animations are expressive.

Published in:

Cyberworlds, 2008 International Conference on

Date of Conference:

22-24 Sept. 2008