face sketch synthesis via sparse representation

ISCAS OpenIR > 2010软件所会议论文

	face sketch synthesis via sparse representation
	Chang Liang; Zhou Mingquan; Han Yanjun; Deng Xiaoming
	2010
Conference Name	2010 20th International Conference on Pattern Recognition, ICPR 2010
Source	Proceedings - International Conference on Pattern Recognition
Pages	2146-2149
Conference Date	August 23,
Conference Place	Istanbul, Turkey
Indexed Type	ei
Publish Place	United States
ISSN	10514651
ISBN	9780770000000
Department	(1) College of Information Science and Technology, Beijing Normal University, Beijing 100875, China; (2) Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China; (3) Institute of Software, Chinese Academy of Sciences, Beijing 100190, China
English Abstract	Face sketch synthesis with a photo is challenging due to that the psychological mechanism of sketch generation is difficult to be expressed precisely by rules. Current learning-based sketch synthesis methods concentrate on learning the rules by optimizing cost functions with low-level image features. In this paper, a new face sketch synthesis method is presented, which is inspired by recent advances in sparse signal representation and neuroscience that human brain probably perceives images using high-level features which are sparse. Sparse representations are desired in sketch synthesis due to that sparseness can adaptively selects the most relevant samples which give best representations of the input photo. We assume that the face photo patch and its corresponding sketch patch follow the same sparse representation. In the feature extraction, we select succinct high-level features by using the sparse coding technique, and in the sketch synthesis process each sketch patch is synthesized with respect to high-level features by solving an l1-norm optimization. Experiments have been given on CUHK database to show that our method can resemble the true sketch fairly well. © 2010 IEEE.
Keyword	Cost Functions Image Processing Optimization
Language	英语
Content Type	会议论文
URI	http://ir.iscas.ac.cn/handle/311060/8758
Collection	2010软件所会议论文
Recommended Citation GB/T 7714	Chang Liang,Zhou Mingquan,Han Yanjun,et al. face sketch synthesis via sparse representation[C]. United States,2010:2146-2149.

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