Transductive Face Sketch-Photo Synthesis

CORC > 西安光学精密机械研究所 > 中国科学院西安光学精密机械研究所 > 光学影像学习与分析中心

	Transductive Face Sketch-Photo Synthesis
	Wang, Nannan 1; Tao, Dacheng2,3 ; Gao, Xinbo 1; Li, Xuelong4 ; Li, Jie 1
刊名	ieee transactions on neural networks and learning systems
	2013-09-01
卷号	24 期号:9 页码:1364-1376
关键词	Probabilistic graph model quadratic programming sketch-photo synthesis transductive learning
英文摘要	face sketch-photo synthesis plays a critical role in many applications, such as law enforcement and digital entertainment. recently, many face sketch-photo synthesis methods have been proposed under the framework of inductive learning, and these have obtained promising performance. however, these inductive learning-based face sketch-photo synthesis methods may result in high losses for test samples, because inductive learning minimizes the empirical loss for training samples. this paper presents a novel transductive face sketch-photo synthesis method that incorporates the given test samples into the learning process and optimizes the performance on these test samples. in particular, it defines a probabilistic model to optimize both the reconstruction fidelity of the input photo (sketch) and the synthesis fidelity of the target output sketch (photo), and efficiently optimizes this probabilistic model by alternating optimization. the proposed transductive method significantly reduces the expected high loss and improves the synthesis performance for test samples. experimental results on the chinese university of hong kong face sketch data set demonstrate the effectiveness of the proposed method by comparing it with representative inductive learning-based face sketch-photo synthesis methods.
WOS标题词	science & technology ; technology
类目[WOS]	computer science, artificial intelligence ; computer science, hardware & architecture ; computer science, theory & methods ; engineering, electrical & electronic
研究领域[WOS]	computer science ; engineering
关键词[WOS]	sparse representation ; recognition ; image ; reconstruction ; transformation ; information ; ensemble
收录类别	SCI ; EI
语种	英语
WOS记录号	WOS:000325980900002
公开日期	2015-06-30
内容类型	期刊论文
源URL	[http://ir.opt.ac.cn/handle/181661/23197]
专题	西安光学精密机械研究所_光学影像学习与分析中心
作者单位	1.Xidian Univ, Sch Elect Engn, VIPS Lab, Xian 710071, Peoples R China 2.Univ Technol Sydney, Ctr Quantum Computat & Intelligent Syst, Ultimo, NSW 2007, Australia 3.Univ Technol Sydney, Fac Engn & Informat Technol, Ultimo, NSW 2007, Australia 4.Chinese Acad Sci, Ctr OPT IMagery Anal & Learning, State Key Lab Transient Opt & Photon, Xian Inst Opt & Precis Mech, Xian 710119, Peoples R China
推荐引用方式 GB/T 7714	Wang, Nannan,Tao, Dacheng,Gao, Xinbo,et al. Transductive Face Sketch-Photo Synthesis[J]. ieee transactions on neural networks and learning systems,2013,24(9):1364-1376.
APA	Wang, Nannan,Tao, Dacheng,Gao, Xinbo,Li, Xuelong,&Li, Jie.(2013).Transductive Face Sketch-Photo Synthesis.ieee transactions on neural networks and learning systems,24(9),1364-1376.
MLA	Wang, Nannan,et al."Transductive Face Sketch-Photo Synthesis".ieee transactions on neural networks and learning systems 24.9(2013):1364-1376.