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12

PR
2006

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Low resolution face recognition based on support vector data description

13 years 4 months ago

Low resolution face recognition based on support vector data description

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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. 2006 Pattern Recognition Society. Published by Elsevier Ltd. All rights reserved.

Sang-Woong Lee, Jooyoung Park, Seong-Whan Lee

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Face Recognition | Face Recognition Process | Low-resolution Face Recognition | PR 2006 |

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Added	14 Dec 2010
Updated	14 Dec 2010
Type	Journal
Year	2006
Where	PR
Authors	Sang-Woong Lee, Jooyoung Park, Seong-Whan Lee

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