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
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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
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