An increment coefficient method for face recognition | |
Li, Ce1,2; Miao, Xiuxun1; Xiao, Limei1; Li, Ming1; Hu, Zhijia1; Pan, Zhengrong1 | |
2014-01-06 | |
会议日期 | October 14, 2014 - October 16, 2014 |
会议地点 | Dalian, China |
关键词 | Inverse problems Least squares approximations Sampling Coefficient methods increment coefficient Linear modeling Linear representation ORL face database Regularized least squares Testing samples Training sample |
DOI | 10.1109/CISP.2014.7003862 |
页码 | 665-669 |
英文摘要 | In the paper we present an increment coefficient method used in face recognition which is also a linear representation-based method. Different from traditional linear representation-based method, for every class, we develop a linear model representing a virtual sample as a linear representation of the class-specific training sample and the testing sample. In the model, the virtual sample is the mean value of the class-specific training samples, the testing sample can be considered as an increment and we define the coefficient associate with the testing sample as the increment coefficient. We employ the regularized least square method to solve the inverse problem and label the testing sample as the class which has the maximum increment coefficient. Experiments were made on the Yale and ORL face database. The performance of our method was demonstrated on two face databases and compared to the state-of-art with linear representation algorithms. © 2014 IEEE. |
会议录 | Proceedings - 2014 7th International Congress on Image and Signal Processing, CISP 2014 |
会议录出版者 | Institute of Electrical and Electronics Engineers Inc. |
语种 | 英语 |
内容类型 | 会议论文 |
源URL | [http://ir.lut.edu.cn/handle/2XXMBERH/117799] |
专题 | 电气工程与信息工程学院 |
作者单位 | 1.College of Electrical and Information Engineering, Lanzhou University of Technology, Lanzhou; 730050, China; 2.School of Electronic and Information Engineering, Xi'an Jiaotong University, Xi'an; 710049, China |
推荐引用方式 GB/T 7714 | Li, Ce,Miao, Xiuxun,Xiao, Limei,et al. An increment coefficient method for face recognition[C]. 见:. Dalian, China. October 14, 2014 - October 16, 2014. |
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