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9 August 2018 Discriminative ability based facial expression recognition using kernel relief algorithm
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Proceedings Volume 10806, Tenth International Conference on Digital Image Processing (ICDIP 2018); 108061R (2018) https://doi.org/10.1117/12.2503121
Event: Tenth International Conference on Digital Image Processing (ICDIP 2018), 2018, Shanghai, China
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.
© (2018) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jie Du, Yun Tie, and Long Ye "Discriminative ability based facial expression recognition using kernel relief algorithm", Proc. SPIE 10806, Tenth International Conference on Digital Image Processing (ICDIP 2018), 108061R (9 August 2018); https://doi.org/10.1117/12.2503121
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