Cauchy estimator discriminant analysis for face recognition
文献类型：期刊论文
| 作者 | Yang, Xipeng; Cheng, Jun; Feng, Wei; Liang, Hong; Bai, Zhengyao; Tao, Dapeng |
| 刊名 | NEUROCOMPUTING
 |
| 出版日期 | 2016 |
| 英文摘要 | With the rapid development of computer vision and pattern recognition, face recognition, one of the basic research topics in computer vision and pattern recognition, has received intensive attention in recent years. Usually, traditional face recognition algorithms have considerable discriminant ability; however, when there are some samples that are easy to confuse in the face database, the discriminant ability of traditional facerecognition algorithms will inevitably decrease. In this paper, based on the patch alignment framework (PAF) and Cauchy estimator theory, we proposed a novelty subspace learning algorithm for face recognitionnamed Cauchy estimator discriminant analysis (CEDA). Under the framework of PAF, both local and global geometries of the input samples are preserved; by using the Cauchy estimator, large errors caused by samples that are easy to confuse could be overcome. We conducted the experiments on three facedatabases and strongly illustrated the effectiveness of CEDA for face recognition. |
| 收录类别 | SCI |
| 原文出处 | http://www.sciencedirect.com/science/article/pii/S0925231216300467 |
| 语种 | 英语 |
| 源URL | [http://ir.siat.ac.cn:8080/handle/172644/9913]  |
| 专题 | 深圳先进技术研究院_集成所 |
| 作者单位 | NEUROCOMPUTING |
| 推荐引用方式 GB/T 7714 | Yang, Xipeng,Cheng, Jun,Feng, Wei,et al. Cauchy estimator discriminant analysis for face recognition[J]. NEUROCOMPUTING,2016. |
| APA | Yang, Xipeng,Cheng, Jun,Feng, Wei,Liang, Hong,Bai, Zhengyao,&Tao, Dapeng.(2016).Cauchy estimator discriminant analysis for face recognition.NEUROCOMPUTING. |
| MLA | Yang, Xipeng,et al."Cauchy estimator discriminant analysis for face recognition".NEUROCOMPUTING (2016). |
入库方式： OAI收割
来源：深圳先进技术研究院
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