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Abstract: We present a novel hierarchical framework for high resolution, nonrigid facial expression tracking. The high quality dense point clouds of facial geometry moving at video speeds are acquired using a phase-shifting based structured light ranging technique [19]. To use such data for temporal study of the subtle dynamics in expressions and for face recognition, an efficient nonrigid facial tracking algorithm is needed to establish intra-frame correspondences. In this paper, we propose such an... (Update)
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BibTeX entry: (Update)
X. Huang, S. Zhang, Y. Wang, D. Metaxas, and D. Samaras, "A Hierarchical Framework for High Resolution Facial Expression Tracking," in Third IEEE Workshop on Articulated and Nonrigid Motion, in conjunction with CVPR'04, July 2004. http://citeseer.ist.psu.edu/huang04hierarchical.html More
@misc{ huang04hierarchical,
author = "X. Huang and S. Zhang and Y. Wang and D. Metaxas and D. Samaras",
title = "A Hierarchical Framework for High Resolution Facial Expression Tracking",
text = "X. Huang, S. Zhang, Y. Wang, D. Metaxas, and D. Samaras, A Hierarchical
Framework for High Resolution Facial Expression Tracking, in Third IEEE
Workshop on Articulated and Nonrigid Motion, in conjunction with CVPR'04,
July 2004.",
year = "2004",
url = "citeseer.ist.psu.edu/huang04hierarchical.html" }
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