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, Xuanyang ; Qin, Zhengke; Ding, Shuguang; Qiao, Hong
|
| 出版日期 | 2015-12 |
| 会议日期 | 6-9 Dec. 2015 |
| 会议地点 | Zhuhai, China |
| 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 for facial 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 local binary 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 facial expression 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. |
| 源URL | [http://ir.ia.ac.cn/handle/173211/14764]  |
| 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, Xuanyang |
| 作者单位 | Institute of Automaton, Chinese Academy of Science |
| 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:. Zhuhai, China. 6-9 Dec. 2015. |
入库方式： OAI收割
来源：自动化研究所
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