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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Annan Li Shiguang Shan Xilin Chen Wen Gao |
| Copyright Year | 2011 |
| Description | Author affiliation: Institute of Digital Media, Peking University, Beijing, 100871, China (Wen Gao) || Key Lab of Intelligent Information Processing of CAS, Institute of Computing Technology, CAS, Beijing 100190, China (Annan Li; Shiguang Shan; Xilin Chen) |
| Abstract | In previous works of face recognition, similarity between faces is measured by comparing corresponding face regions. That is to say, matching eyes with eyes and mouths with mouths etc‥ In this paper, we propose that face can be also recognized by matching non-corresponding facial regions. In another word face can be recognized by matching eyes with mouths, for example. Specifically, the problem we study in this paper can be formulated as how to measure the possibility whether two non-corresponding face regions belong to the same face. We propose that the possibility can be measured via canonical correlation analysis. Experimental results show that it is feasible to recognize face via non-corresponding region matching. The proposed method provides an alternative and more flexible way to recognize faces. |
| Starting Page | 1060 |
| Ending Page | 1067 |
| File Size | 1930434 |
| Page Count | 8 |
| File Format | |
| ISBN | 9781457711015 |
| ISSN | 15505499 |
| e-ISBN | 9781457711022 |
| DOI | 10.1109/ICCV.2011.6126352 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2011-11-06 |
| Publisher Place | Spain |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Correlation Testing Training |
| Content Type | Text |
| Resource Type | Article |
| Subject | Computer Vision and Pattern Recognition Software |
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