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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Changjun Zhou Qiang Zhang Xiaopeng Wei Chunguang Bai |
| Copyright Year | 2008 |
| Description | Author affiliation: Dalian Univ. of Technol., Dalian (Changjun Zhou) |
| Abstract | Traditional LNMF-based face recognition methods obtain a universal subspace by using all trained images. The subspace mainly represents the commonness of human faces; there are a few sights of the individuality owned by a single person's face. In this paper, we present a novel method named LNMF-based image reconstruction for face recognition. The fundamental difference between the traditional LNMF and ours is that we obtain the basis images by using each person's pictures respectively, while the traditional way uses the whole training images of the database. After the step above, we obtained the features which will be employed to reconstruct the images by mapping the test images to the basis images. And then we adopt the minimum reconstruction error to finish the facial recognition. Finally, experiments based on the ORL database is illustrated the effectivity of this method. |
| Starting Page | 1381 |
| Ending Page | 1384 |
| File Size | 666892 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781424416851 |
| DOI | 10.1109/ICNSC.2008.4525434 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2008-04-06 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Image reconstruction Face recognition Principal component analysis Matrix decomposition Image databases Spatial databases Testing Computer simulation Humans Information analysis |
| Content Type | Text |
| Resource Type | Article |
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