Proceedings of the KIEE Conference (대한전기학회:학술대회논문집)
- 2008.10b
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- Pages.292-293
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- 2008
Face Hallucination based on Example-Learning
예제학습 방법에 기반한 저해상도 얼굴 영상 복원
- Lee, Jun-Tae (Department of Computer Science & Engineering, Hanyang University) ;
- Kim, Jae-Hyup (Department of Computer Science & Engineering, Hanyang University) ;
- Moon, Young-Shik (Department of Computer Science & Engineering, Hanyang University)
- Published : 2008.10.31
Abstract
In this paper, we propose a face hallucination method based on example-learning. The traditional approach based on example-learning requires alignment of face images. In the proposed method, facial images are segmented into patches and the weights are computed to represent input low resolution facial images into weighted sum of low resolution example images. High resolution facial images are hallucinated by combining the weight vectors with the corresponding high resolution patches in the training set. Experimental results show that the proposed method produces more reliable results of face hallucination than the ones by the traditional approach based on example-learning.
Keywords