Please use this identifier to cite or link to this item: https://doi.org/10.1109/IEEM.2010.5674632
Title: Composite orthonormal basis for person-independent facial expression recognition
Authors: Gu, W.F.
Venkatesh, Y.V. 
Xiang, C. 
Keywords: Classifier synthesis
Composite orthonormal basis
Person-independent facial expression recognition
Issue Date: 2010
Source: Gu, W.F.,Venkatesh, Y.V.,Xiang, C. (2010). Composite orthonormal basis for person-independent facial expression recognition. IEEM2010 - IEEE International Conference on Industrial Engineering and Engineering Management : 1942-1946. ScholarBank@NUS Repository. https://doi.org/10.1109/IEEM.2010.5674632
Abstract: We propose a novel framework, involving a composite orthornormal basis (COB), for person-independent facial expression recognition from images. In combination with localized features, the new approach decouples expression from identity information as much as possible. Experimental results show that such an approach, when applied to wide-ranging databases, significantly improves expression recognition accuracy in comparison with the results in the literature. It can also be successfully generalized to cross-database expression recognition which is believed to be the first of its kind. ©2010 IEEE.
Source Title: IEEM2010 - IEEE International Conference on Industrial Engineering and Engineering Management
URI: http://scholarbank.nus.edu.sg/handle/10635/51125
ISBN: 9781424485031
DOI: 10.1109/IEEM.2010.5674632
Appears in Collections:Staff Publications

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