Face Synthesis From Near-Infrared To Visual Light Spectrum Using Quotient Image And Kernel-Based Multifactor Analysis | |
Zeda Zhang; Yunhong Wang; Zhaoxiang Zhang; Guangpeng Zhang | |
2011-07-11 | |
会议名称 | IEEE International Conference on Multimedia and Expo |
会议录名称 | ICME 2011 |
会议日期 | 11-15 July 2011 |
会议地点 | Barcelona, Spain |
摘要 | This paper addresses the problem of synthesizing an artificial visual light (VIS) facial image from near-infrared (NIR) input. After extensively assessing photic characteristics of tissues at human skin surface, we propose a framework for this task. Firstly, we take the quotient images for training and reconstruction, so that information related to face structure can be preserved. Secondly, to handle heterogeneous blur resulted from multiple scattering within tissues, we introduce kernel based strategy as a powerful nonlinear analyzing instrument. Finally, as in our application the image ensembles involve multiple factors, a tensor structure is employed to transform heterogeneous face data into uniform subspaces. Comparative results show that our synthesized images are both suited for human vision and discriminative for machine recognition. |
关键词 | Kernel-based Multifactor Analysis Near-infared Visual Light Synthesis Quotient Image |
文献类型 | 会议论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/13284 |
专题 | 智能感知与计算 |
通讯作者 | Zhaoxiang Zhang |
推荐引用方式 GB/T 7714 | Zeda Zhang,Yunhong Wang,Zhaoxiang Zhang,et al. Face Synthesis From Near-Infrared To Visual Light Spectrum Using Quotient Image And Kernel-Based Multifactor Analysis[C],2011. |
条目包含的文件 | 条目无相关文件。 |
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