Rapid and Brief communication: Low resolution face recognition based on support vector data description

Authors:
Sang-Woong Lee;Jooyoung Park;Seong-Whan Lee
Affiliations:
Department of Computer Science and Engineering, Korea University, Anam-dong, Seongbuk-ku, Seoul 136-713, Republic of Korea;Department of Control and Instrumentation Engineering, Korea University, Jochiwon, Chungnam 339-700, Republic of Korea;Department of Computer Science and Engineering, Korea University, Anam-dong, Seongbuk-ku, Seoul 136-713, Republic of Korea
Venue:
Pattern Recognition
Year:
2006

Citing 6
Cited 10

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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.