Realistic smile expression recognition using biologically inspired features

Authors:
Cong He;Huiyun Mao;Lianwen Jin
Affiliations:
School of Electronic and Information Engineering, South China University of Technology, Guangzhou, China;School of Electronic and Information Engineering, South China University of Technology, Guangzhou, China;School of Electronic and Information Engineering, South China University of Technology, Guangzhou, China
Venue:
AI'11 Proceedings of the 24th international conference on Advances in Artificial Intelligence
Year:
2011

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Abstract

A robust smile recognition system could be widely used for many real-world applications. In this paper, we introduce biologically inspired model (BIM) into the building of realistic smile classification system for solving challenging realistic tasks. To improve the performance of BIM, we develop a modified BIM (MBIM), which utilizes a more efficient pooling operation and boosting feature selection. Experiments demonstrate the effectiveness of themodifications and adjustments of BIM. By testing on the challenging realistic database, GENKI, our method is proved to be superior to some other state-of-the-art smile classification algorithms.