中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Local Line Derivative Pattern For Face Recognition

文献类型:会议论文

作者Lian, Zhichao; Meng Joo Er; Cong Y(丛杨)
出版日期2012
会议名称2012 IEEE International Conference on Image Processing
会议日期September 30 - October 3, 2012
会议地点Orland, Florida, USA
关键词Face recognition High-order local pattern Local binary pattern
页码1449-1452
通讯作者Lian, Zhichao
中文摘要In this paper, we propose a novel face descriptor for face recognition, named Local Line Derivative Pattern (LLDP). High-order derivative images in two directions are obtained by convolving original images with Sobel Masks. A revised binary coding function is proposed and three standards on arranging the weights are also proposed. Based on the standards, the weights of a line neighborhood in two directions are arranged. The LLDP labels in two directions are calculated with the proposed binary coding function and weights. The labeled image is divided into blocks where spatial histograms are extracted separately and concatenated into an entire histogram as features for recognition. The experiments on the FERET and Extended Yale B show superior performances of the proposed LLDP compared to other existing methods based on the LBP. The results prove that the LLDP has good robustness against expression, illumination and aging variations.
收录类别EI ; CPCI(ISTP)
产权排序2
会议主办者IEEE Signal Processing Society
会议录Proceedings of the 2012 IEEE International Conference on Image Processing
会议录出版者IEEE
会议录出版地New York, USA
语种英语
ISBN号978-1-4673-2533-2
WOS记录号WOS:000319334901131
源URL[http://ir.sia.cn/handle/173321/10208]  
专题沈阳自动化研究所_机器人学研究室
推荐引用方式
GB/T 7714
Lian, Zhichao,Meng Joo Er,Cong Y. Local Line Derivative Pattern For Face Recognition[C]. 见:2012 IEEE International Conference on Image Processing. Orland, Florida, USA. September 30 - October 3, 2012.

入库方式: OAI收割

来源:沈阳自动化研究所

浏览0
下载0
收藏0
其他版本

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。