Occluded Face Recognition Based on the Improved SVM and Block Weighted LBP

摘要：

Facial occlusions, for example, sunglasses, and scarves, etc., can significantly affect the performance of any facial recognition system. The focus of this paper is on facial occlusions, and particularly, on how to improve the recognition of faces occluded by sunglasses and scarves. We propose a new approach that consists of first detecting the presence of sunglasses/scarves and then processing the non-occluded facial regions only. The occlusion detection problem is approached using PCA and improved support vector machines (SVM), while the recognition of the non-occluded facial part is performed using blocked-based weighted local binary patterns (LBP).

关键词： face recognition occlusion detection support vector machines local binary patterns

作者: Zhaohua Chen Tingrong Xu Zhiyuan Han

作者单位: School of Computer Science and Technology, Soochow University, Suzhou, China

会议类型: 国际会议

会议名称: 2011 International Conference on Image Analysis and Signal Processing(2011第三届图像分析与信号处理国际会议 IASP 2011)

会议地点: 武汉

会议语种:英文

页码: 118-122

在线出版日期: 2011-10-21（万方平台首次上网日期，不代表论文的发表时间）