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题名:
face sketch synthesis via multivariate output regression
作者: Chang Liang ; Zhou Mingquan ; Deng Xiaoming ; Wu Zhongke ; Han Yanjun
会议文集: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
会议名称: 14th International Conference on Human-Computer Interaction, HCI International 2011
会议日期: 9-Jul-20
出版日期: 2011
会议地点: Orlando, FL, United states
关键词: Human computer interaction ; Knowledge management
出版地: Germany
收录类别: ei
ISSN: 3029743
ISBN: 9783642216015
部门归属: (1) College of Information Science and Technology, Beijing Normal University, Beijing 100875, China; (2) Institute of Software, Chinese Academy of Sciences, Beijing 100190, China; (3) Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China
英文摘要: This paper presents a multivariate output regression based method to synthesize face sketches from photos. The training photos and sketches are divided into small image patches. For each pairs of photo patch and its corresponding sketch patch in training data, a local regression model is built by multivariate output regression methods such as kernel ridge regression and relevance vector machine (RVM). Compared with commonly used single-output regression, multivariate output regression can enforce the synthesized sketch patches with structure constraints. Experiments are given to show the validity and effectiveness of the approach. © 2011 Springer-Verlag.
语种: 英语
内容类型: 会议论文
URI标识: http://ir.iscas.ac.cn/handle/311060/14305
Appears in Collections:软件所图书馆_会议论文

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Recommended Citation:
Chang Liang,Zhou Mingquan,Deng Xiaoming,et al. face sketch synthesis via multivariate output regression[C]. 见:14th International Conference on Human-Computer Interaction, HCI International 2011. Orlando, FL, United states. 9-Jul-20.
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