Abstract
In the face recognition process, it is important to deal with a facial image of low-resolution. For low-resolution face recognition, we propose a new method of extending the SVDD, which is one of the most well-known support vector learning methods for the one-class problem. The proposed method can recognize a person even with a low-resolution image.
Original language | English |
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Pages (from-to) | 1809-1812 |
Number of pages | 4 |
Journal | Pattern Recognition |
Volume | 39 |
Issue number | 9 |
DOIs | |
Publication status | Published - 2006 Sept |
Keywords
- Face recognition
- Image enhancement
- Low resolution
- Support vector data description (SVDD)
ASJC Scopus subject areas
- Software
- Signal Processing
- Computer Vision and Pattern Recognition
- Artificial Intelligence