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Real-time conversion from a single 2D face image to a 3D text-driven emotive audio-visual avatar

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5 Author(s)
Hao Tang ; Univ. of Illinois at Urbana-Champaign, Champaign, IL ; Yuxiao Hu ; Yun Fu ; Hasegawa-Johnson, M.
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In this paper, we propose a complete pipeline of efficient and low-cost techniques to construct a realistic 3D text-driven emotive audio-visual avatar from a single 2D frontal-view face image of any person on the fly. This real-time conversion is achieved through three steps. First, a personalized 3D face model is built based on the 2D face image using a fully automatic 3D face shape and texture reconstruction framework. Second, using standard MPEG-4 FAPs (Facial Animation Parameters), the face model is animated by the Viseme and expression channels and is complemented by the visual prosody channel that controls head, eye and eyelid movements. Finally, the facial animation is combined and synchronized with the emotive synthetic speech generated by incorporating an emotion transformer into a Festival-MBROLA text to neutral speech synthesizer.

Published in:

Multimedia and Expo, 2008 IEEE International Conference on

Date of Conference:

June 23 2008-April 26 2008

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