smoothness-constrained face photo-sketch synthesis using sparse representation

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	smoothness-constrained face photo-sketch synthesis using sparse representation
	Chang Liang; Deng Xiaoming; Zhou Mingquan; Duan Fuqing; Wu Zhongke
	2012
Conference Name	21st International Conference on Pattern Recognition, ICPR 2012
Source	Proceedings - International Conference on Pattern Recognition
Pages	3025-3029
Conference Date	November 11, 2012 - November 15, 2012
Conference Place	Tsukuba, Japan
Indexed Type	EI
ISSN	1051-4651
ISBN	9784990644109
Department	(1) College of Information Science and Technology Beijing Normal University China; (2) Institute of Software Chinese Academy of Sciences China
English Abstract	Face photo-sketch and sketch-photo synthesis have important usages in law enforcement. It is challenging to synthesize face sketches from photos because the drawing techniques and styles of artists' depictions are hard to be learned. To synthesize face photos from sketches is also hard due to its ill-posed nature. In order to avoid mosaic effects in the existed photo-sketch methods, we propose a smoothness-constrained photo-sketch synthesis method via sparse representation. The work is an extension of the previous work[1]. The method is modeled as the minimization of an energy function, a large scale convex optimization problem with l1-norm constraint. Since previous optimization methods are infeasible to solve our problem, we propose an iterative optimization approach, which decomposes the large scale optimization into a sequence of small scale optimizations and solve them iteratively to obtain the approximated optimal solution. The same synthesis strategy can be also used to synthesize photos from sketches. Experiments show its effectiveness. © 2012 ICPR Org Committee.; Face photo-sketch and sketch-photo synthesis have important usages in law enforcement. It is challenging to synthesize face sketches from photos because the drawing techniques and styles of artists' depictions are hard to be learned. To synthesize face photos from sketches is also hard due to its ill-posed nature. In order to avoid mosaic effects in the existed photo-sketch methods, we propose a smoothness-constrained photo-sketch synthesis method via sparse representation. The work is an extension of the previous work[1]. The method is modeled as the minimization of an energy function, a large scale convex optimization problem with l1-norm constraint. Since previous optimization methods are infeasible to solve our problem, we propose an iterative optimization approach, which decomposes the large scale optimization into a sequence of small scale optimizations and solve them iteratively to obtain the approximated optimal solution. The same synthesis strategy can be also used to synthesize photos from sketches. Experiments show its effectiveness. © 2012 ICPR Org Committee.
Keyword	Convex Optimization Optimization Pattern Recognition
Sponsorship	Science Council of Japan; Information Processing Society of Japan (IPSJ); Inst. Electron., Inf. Commun. Eng. (IEICE) Inf. Syst. Soc. (ISS); Japan Society for the Promotion of Science (JSPS); The Telecommunications Advancement Foundation
Language	英语
Content Type	会议论文
URI	http://ir.iscas.ac.cn/handle/311060/15982
Collection	中国科学院软件研究所
Recommended Citation GB/T 7714	Chang Liang,Deng Xiaoming,Zhou Mingquan,et al. smoothness-constrained face photo-sketch synthesis using sparse representation[C],2012:3025-3029.

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