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Proceedings Paper

Discriminative ability based facial expression recognition using kernel relief algorithm
Author(s): Jie Du; Yun Tie; Long Ye
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Paper Abstract

Most existing local feature based facial expression recognition system have concentrate on the salient region on the face, while the effectiveness of the selected region and the computational complexity of the system still need improved. To overcome the limits of the previous work, we propose a novel algorithm kernel ReliefF to select the discriminative patches on the face. The novel approach not only considers the whole feature but also enhances the locality of the variation of the expressive face. Furthermore, it takes less computational complexity. Experimental results on CK+ and RML demonstrate that the method significantly outperforms the state-of-the-art.

Paper Details

Date Published: 9 August 2018
PDF: 8 pages
Proc. SPIE 10806, Tenth International Conference on Digital Image Processing (ICDIP 2018), 108061R (9 August 2018); doi: 10.1117/12.2503121
Show Author Affiliations
Jie Du, Zhengzhou Univ. (China)
Yun Tie, Zhengzhou Univ. (China)
Long Ye, Communication Univ. of China (China)


Published in SPIE Proceedings Vol. 10806:
Tenth International Conference on Digital Image Processing (ICDIP 2018)
Xudong Jiang; Jenq-Neng Hwang, Editor(s)

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