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Facial Expression Recognition From Image Sequence Based on LBP and Taylor Expansion

文献类型：期刊论文

作者Ding, Yuanyuan1,2; Zhao, Qin1,2; Li, Baoqing1; Yuan, Xiaobing1
刊名IEEE ACCESS
出版日期2017
卷号5页码:19409-19419
关键词Pattern recognition facial expression recognition video processing image processing
ISSN号2169-3536
DOI10.1109/ACCESS.2017.2737821
英文摘要The aim of an automatic video-based facial expression recognition system is to detect and classify human facial expressions from image sequence. An integrated automatic system often involves two components: 1) peak expression frame detection and 2) expression feature extraction. In comparison with the image-based expression recognition system, the video-based recognition system often performs online detection, which prefers low-dimensional feature representation for cost-effectiveness. Moreover, effective feature extraction is needed for classification. Many recent recognition systems often incorporate rich additional subjective information and thus become less efficient for real-time application. In our facial expression recognition system, first, we propose the double local binary pattern (DLBP) to detect the peak expression frame from the video. The proposed DLBP method has a much lower-dimensional size and can successfully reduce detection time. Besides, to handle the illumination variations in LBP, logarithm-laplace (LL) domain is further proposed to get a more robust facial feature for detection. Finally, the Taylor expansion theorem is employed in our system for the first time to extract facial expression feature. We propose the Taylor feature pattern (TFP) based on the LBP and Taylor expansion to obtain an effective facial feature from the Taylor feature map. Experimental results on the JAFFE and Cohn-Kanade data sets show that the proposed TFP method outperforms some state-of-the-art LBP-based feature extraction methods for facial expression feature extraction and can be suited for real-time applications.
WOS研究方向Computer Science ; Engineering ; Telecommunications
语种英语
WOS记录号WOS:000412776800017
出版者IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
源URL[http://119.78.100.204/handle/2XEOYT63/6865]  
专题中国科学院计算技术研究所期刊论文_英文
通讯作者Li, Baoqing
作者单位1.Chinese Acad Sci, Shanghai Inst Microsyst & Informat Technol, Wireless Sensor Network Lab, Shanghai 201800, Peoples R China
2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
推荐引用方式
GB/T 7714		 Ding, Yuanyuan,Zhao, Qin,Li, Baoqing,et al. Facial Expression Recognition From Image Sequence Based on LBP and Taylor Expansion[J]. IEEE ACCESS,2017,5:19409-19419.
APA Ding, Yuanyuan,Zhao, Qin,Li, Baoqing,&Yuan, Xiaobing.(2017).Facial Expression Recognition From Image Sequence Based on LBP and Taylor Expansion.IEEE ACCESS,5,19409-19419.
MLA Ding, Yuanyuan,et al."Facial Expression Recognition From Image Sequence Based on LBP and Taylor Expansion".IEEE ACCESS 5(2017):19409-19419.

入库方式： OAI收割

来源：计算技术研究所

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