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Title:
face sketch synthesis via sparse representation
Author: Chang Liang ; Zhou Mingquan ; Han Yanjun ; Deng Xiaoming
Source: Proceedings - International Conference on Pattern Recognition
Conference Name: 2010 20th International Conference on Pattern Recognition, ICPR 2010
Conference Date: August 23,
Issued Date: 2010
Conference Place: Istanbul, Turkey
Keyword: Cost functions ; Image processing ; Optimization
Publish Place: United States
Indexed Type: ei
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.
Language: 英语
Content Type: 会议论文
URI: http://ir.iscas.ac.cn/handle/311060/8758
Appears in Collections:中科院软件所图书馆_2010软件所会议论文

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Recommended Citation:
Chang Liang,Zhou Mingquan,Han Yanjun,et al. face sketch synthesis via sparse representation[C]. 见:2010 20th International Conference on Pattern Recognition, ICPR 2010. Istanbul, Turkey. August 23,.
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