Three-level face features for face recognition based on center-symmetric Local Binary Pattern | |
Liu, Changming![]() ![]() ![]() | |
2011 | |
会议录名称 | Proceedings - 2011 IEEE International Conference on Computer Science and Automation Engineering, CSAE 2011
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卷号 | 4 |
页码 | 394-398 |
出版者 | IEEE Computer Society |
摘要 | Recently, Local Binary Pattern (LBP) operator has been applied into face recognition successfully. Center-symmetric Local Binary Pattern is a variation operator of LBP, which can not only reduce the dimensionality of LBP features, but also capture the gradient information better than basic LBP. In this paper, an algorithm is proposed for face recognition based on center-symmetric LBP. The main idea of the algorithm is using the center-symmetric LBP operator three times for extracting three-level face features with the assumption that a gray face image encoded by center-symmetric LBP operator is still a gray image. Since different level face features make different contributions to face recognition, we put appropriate weighting on each level face feature. The experimental results show that the proposed algorithm performances superiority over the comparative algorithms on ORL and the subset of FERET face databases. © 2011 IEEE. |
关键词 | Computer science Computers Engineering Industrial engineering Algorithm performance Center-Symmetric Center-symmetric local binary patterns FERET face database Gradient informations Local binary pattern operators Local binary patterns weighting |
DOI | 10.1109/CSAE.2011.5952876 |
收录类别 | EI |
语种 | 英语 |
EI入藏号 | 20113414258853 |
原始文献类型 | Conference article (CA) |
文献类型 | 会议论文 |
条目标识符 | https://ir.cqcet.edu.cn/handle/39TD4454/3223 |
专题 | 人工智能与大数据学院 智慧健康学院 |
作者单位 | Department of Software Engineering, ChongQing College of Electronic Engineering, ChongQing, China |
第一作者单位 | 重庆电子科技职业大学 |
推荐引用方式 GB/T 7714 | Liu, Changming,Lu, Jianyun,Li, Lin. Three-level face features for face recognition based on center-symmetric Local Binary Pattern[C]:IEEE Computer Society,2011:394-398. |
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