face sketch synthesis via multivariate output regression

ISCAS OpenIR

	face sketch synthesis via multivariate output regression
	Chang Liang; Zhou Mingquan; Deng Xiaoming; Wu Zhongke; Han Yanjun
	2011
会议名称	14th International Conference on Human-Computer Interaction, HCI International 2011
会议录名称	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
页码	555-561
会议日期	9-Jul-20
会议地点	Orlando, FL, United states
收录类别	ei
出版地	Germany
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
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.
关键词	Human Computer Interaction Knowledge Management
语种	英语
内容类型	会议论文
URI标识	http://ir.iscas.ac.cn/handle/311060/14305
专题	中国科学院软件研究所
推荐引用方式 GB/T 7714	Chang Liang,Zhou Mingquan,Deng Xiaoming,et al. face sketch synthesis via multivariate output regression[C]. Germany,2011:555-561.

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