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A system for the automatic extraction of 3-D facial feature points for face model calibration

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2 Author(s)
Yong Yan ; Dept. of Video Commun., Philips Res., Briarcliff Manor, NY, USA ; K. Challapali

The emergence of the MPEG-4 standard has facilitated the development of new approaches to very-low bitrate coding, including model-based coding for human faces. As a tool in the synthetic/natural hybrid coding part of the standard, a face object is defined in terms of its shape-consisting of a set of facial feature points and texture. In addition, this face object can be animated by controlling these facial feature points to obtain a visual manifestation of speech and facial expression. However, the extraction of these facial feature points based on a particular human face is not a trivial task, and lies outside the scope of the MPEG-4 standard. In this paper, we introduce a system that automatically extracts 3-D facial feature points and calibrates a generic face model to a particular speaker's face. Our approach differs from previous work in that we extract facial feature points in 3-D using a stereoscopic camera leading to an automatic robust calibration of the face model to the particular face. Preliminary experimental results show promising performance.

Published in:

Image Processing, 2000. Proceedings. 2000 International Conference on  (Volume:2 )

Date of Conference:

10-13 Sept. 2000