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Local Line Derivative Pattern For Face Recognition
Lian, Zhichao; Meng Joo Er; Cong Y(丛杨)
作者部门机器人学研究室
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
会议主办者IEEE Signal Processing Society
会议录名称Proceedings of the 2012 IEEE International Conference on Image Processing
出版者IEEE
出版地New York, USA
2012
页码1449-1452
收录类别EI ; CPCI(ISTP)
EI收录号20131116112575
WOS记录号WOS:000319334901131
产权排序2
ISBN号978-1-4673-2533-2
关键词Face Recognition High-order Local Pattern Local Binary Pattern
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.
语种英语
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被引频次:1[WOS]   [WOS记录]     [WOS相关记录]
文献类型会议论文
条目标识符http://ir.sia.cn/handle/173321/10208
专题机器人学研究室
通讯作者Lian, Zhichao
作者单位1.School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore, Singapore
2.State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Science, China
推荐引用方式
GB/T 7714
Lian, Zhichao,Meng Joo Er,Cong Y. Local Line Derivative Pattern For Face Recognition[C]//IEEE Signal Processing Society. New York, USA:IEEE,2012:1449-1452.
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