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4D facial expression recognition

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4 Author(s)
Tianhong Fang ; Comput. Biomed. Lab., Univ. of Houston, Houston, TX, USA ; Xi Zhao ; Shah, S.K. ; Kakadiaris, I.A.

In this paper, we focus on discrete expression classification using dynamic 3D sequences (4D data) recording the facial movements. A robust approach for registering 4D data is proposed and a variant of local binary patterns on three orthogonal planes is used for feature extraction. We present a fully automatic facial expression recognition pipeline. The system was evaluated on the publicly available facial expression database BU-4DFE and promising results were obtained.

Published in:

Computer Vision Workshops (ICCV Workshops), 2011 IEEE International Conference on

Date of Conference:

6-13 Nov. 2011

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