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Low resolution face recognition based on support vector data description
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DOI：10.1016/j.patcog.2006.04.033.png)
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Abstract
En 中文
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. (c) 2006 Pattern Recognition Society. Published by Elsevier Ltd. All rights reserved.
Keywords:
support vector data description (SVDD)
face recognition
low resolution
image enhancement
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