中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
An improved eLBPH method for facial identity recognition: Expression-specific weighted local binary pattern histogram

文献类型:会议论文

作者Xi, Xuanyang1; Qin, Zhengke2; Ding, Shuguang3; Qiao, Hong1; Xi, XY
出版日期2015
会议名称IEEE International Conference on Robotics and Biomimetics (ROBIO)
会议日期DEC 06-09, 2015
会议地点Zhuhai, PEOPLES R CHINA
关键词FACE RECOGNITION CLASSIFICATION
通讯作者Xi, XY
英文摘要Face perception is one of the most important tasks in robot vision especially for service robots. The spatially enhanced local binary pattern histogram (eLBPH) method has been proved to be effective forfacial image representation and analysis, but the expression factor isn't considered and the region-dividing method is rough. In this paper, inspired by the biological mechanism of human memory and face perception, we improve the eLBPH and propose a new method, expression-specific weighted localbinary pattern histogram (EWLBPH). Accordingly, the new method introduces a semantic division process and an extended modulation process into the classical eLBPH. What's more, for the facialexpression recognition, we propose a novel method which utilizes the convolutional deep belief network (CDBN) to extract discriminative information and represent them effectively. Finally, through experiments we verify the rationality and effectiveness of the improvement and two psychophysical findings.
收录类别EI
会议录2015 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND BIOMIMETICS (ROBIO)
源URL[http://ir.ia.ac.cn/handle/173211/12847]  
专题自动化研究所_复杂系统管理与控制国家重点实验室_机器人应用与理论组
通讯作者Xi, XY
作者单位1.State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences
2.Research Center of Precision Sensing and Control, Institute of Automation, Chinese Academy of Sciences
3.Institute of Applied Mathematics, AMSS, Chinese Academy of Sciences
推荐引用方式
GB/T 7714
Xi, Xuanyang,Qin, Zhengke,Ding, Shuguang,et al. An improved eLBPH method for facial identity recognition: Expression-specific weighted local binary pattern histogram[C]. 见:IEEE International Conference on Robotics and Biomimetics (ROBIO). Zhuhai, PEOPLES R CHINA. DEC 06-09, 2015.

入库方式: OAI收割

来源:自动化研究所

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