Manifold learning-based sample selection method for facial image super-resolution

CORC > 自动化研究所 > 中国科学院自动化研究所 > 智能制造技术与系统研究中心 > 多维数据分析团队

	Manifold learning-based sample selection method for facial image super-resolution
	Zhang, Xuesong 1; Jiang, Jing 2; Li, Junhong 3; Peng, Silong 3
刊名	OPTICAL ENGINEERING
	2012-04-01
卷号	51 期号:4
关键词	super-resolution face image locality preserving projections manifold learning unsupervised learning
英文摘要	Learning efficiency, related to not only the size of training set but also to the usage of samples, is an important issue of learning-based super-resolution (SR). We propose a face hallucination method with adaptive sample selection ability by learning from the facial manifold. Employing locality preserving projections (LPP) to analyze the intrinsic features on the local facial manifold, our method searches out image patches dynamically in the LPP subspace, which makes the training set tailored to the input patch. Using the selected training set, we develop a patch-based eigen-transformation algorithm to efficiently restore the lost high-frequency components of the low-resolution face image. Experiments on synthetic and real-life images fully demonstrate that the proposed adaptive sample selection SR method can achieve better performance than some state-of-the-art learning-based SR techniques with less computational cost by utilizing a relative small sample, especially under the case of low quality input images. (C) 2012 Society of Photo-Optical Instrumentation Engineers (SPIE). [DOI: 10.1117/1.OE.51.4.047003]
WOS标题词	Science & Technology ; Physical Sciences
类目[WOS]	Optics
研究领域[WOS]	Optics
关键词[WOS]	FACE ; RECONSTRUCTION ; HALLUCINATION
收录类别	SCI
语种	英语
WOS记录号	WOS:000304015100055
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/2919]
专题	自动化研究所_智能制造技术与系统研究中心_多维数据分析团队
作者单位	1.NE Inst Elect Technol, Sci & Technol Electroopt Informat Secur Control L, Sanhe 065201, Peoples R China 2.N China Inst Sci & Technol, Dept Mech & Elect Engn, Beijing 101601, Peoples R China 3.Chinese Acad Sci, Inst Automat, Beijing 100190, Peoples R China
推荐引用方式 GB/T 7714	Zhang, Xuesong,Jiang, Jing,Li, Junhong,et al. Manifold learning-based sample selection method for facial image super-resolution[J]. OPTICAL ENGINEERING,2012,51(4).
APA	Zhang, Xuesong,Jiang, Jing,Li, Junhong,&Peng, Silong.(2012).Manifold learning-based sample selection method for facial image super-resolution.OPTICAL ENGINEERING,51(4).
MLA	Zhang, Xuesong,et al."Manifold learning-based sample selection method for facial image super-resolution".OPTICAL ENGINEERING 51.4(2012).