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题名:
face sketch synthesis via sparse representation
作者: Chang Liang ; Zhou Mingquan ; Han Yanjun ; Deng Xiaoming
会议文集: Proceedings - International Conference on Pattern Recognition
会议名称: 2010 20th International Conference on Pattern Recognition, ICPR 2010
会议日期: August 23,
出版日期: 2010
会议地点: Istanbul, Turkey
关键词: Cost functions ; Image processing ; Optimization
出版地: United States
收录类别: ei
ISSN: 10514651
ISBN: 9780770000000
部门归属: (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
英文摘要: 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.
语种: 英语
内容类型: 会议论文
URI标识: 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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