Very Low Resolution Face Recognition Problem
Source: Institute of Electrical and Electronics Engineers
This paper addresses the Very Low Resolution (VLR) problem in face recognition in which the resolution of face image to be recognized is lower than 16x16. The VLR problem happens in many surveillance camera-based applications and existing face recognition algorithms are not able to give satisfactory performance on VLR face image. While face Super-Resolution (SR) methods can be employed to enhance the resolution of the images, the existing learning-based face SR methods do not perform well on such a very low resolution face image. To overcome this problem, this paper models the SR problem under VLR case as a regression problem with two constraints.
| Format: | Size: | 324.60 | |
| Date: | Mar 2010 |
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