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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
Source PublicationNeurocomputing
2014-09-22
Volume140Issue:1Pages:146-154
AbstractThis 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.
KeywordFace Synthesis Near-infrared Tensor Analysis Super Resolution Fusion
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/13204
Collection类脑智能研究中心
Corresponding AuthorZhaoxiang Zhang
Recommended Citation
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.
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