Face synthesis from low-resolution near-infrared to high-resolution visual light spectrum based on tensor analysis

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	Face synthesis from low-resolution near-infrared to high-resolution visual light spectrum based on tensor analysis
	Zhaoxiang Zhang; Yunhong Wang; Zeda Zhang
发表期刊	Neurocomputing
	2014-09-22
卷号	140 期号:1 页码:146-154
摘要	This paper presents a tensor analysis based method to synthesize an artificial high-resolution (HR) visual light (VIS) face image from a low-resolution (LR) near-infrared (NIR) input image captured from challenging operating environments. As we know, active NIR imaging has been widely employed as viable means to avoid dramatic illumination changes in outdoor circumstances. However, it exhibits discrepant photic properties in comparison with VIS imaging, and the captured images may suffer from limited quality and low resolutions resulted from uncontrolled environments and challenging imaging conditions. Based on the Lambertian reflection model and a linear observation model, we derived the framework of our approach: a tensor structure based super-resolution (SR) method is employed to transform the heterogeneous face data into uniform subspaces and conduct SR in feature space with maximum a posteriori (MAP) estimation; a discrete wavelet transform (DWT) based fusion scheme is adopted to reduce the noise and compensate for the information loss in the tensor transformation. Experiments are conducted on our collected database with JAI AD-080 multispectral camera (AD-080CL JAI, 2007) [1]. Compared to the two state-of-the-art algorithms, KNN (Liu et al., 2005) [2] and LBP-KNN (Chen et al., 2009) [3], our approach shows better robustness to moderate pose and expression variations, and outstanding efficiency in dealing with images of poor quality and low resolutions.
关键词	Face Synthesis Near-infrared Tensor Analysis Super Resolution Fusion
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/13204
专题	智能感知与计算研究中心
通讯作者	Zhaoxiang Zhang
推荐引用方式 GB/T 7714	Zhaoxiang Zhang,Yunhong Wang,Zeda Zhang. Face synthesis from low-resolution near-infrared to high-resolution visual light spectrum based on tensor analysis[J]. Neurocomputing,2014,140(1):146-154.
APA	Zhaoxiang Zhang,Yunhong Wang,&Zeda Zhang.(2014).Face synthesis from low-resolution near-infrared to high-resolution visual light spectrum based on tensor analysis.Neurocomputing,140(1),146-154.
MLA	Zhaoxiang Zhang,et al."Face synthesis from low-resolution near-infrared to high-resolution visual light spectrum based on tensor analysis".Neurocomputing 140.1(2014):146-154.