@inproceedings{f76a5fdda82745ae98f45ced6fba16e5,
title = "Face synthesis from near-infrared to visual light spectrum using quotient image and kernel-based multifactor analysis",
abstract = "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.",
keywords = "kernel-based multifactor analysis, near-infared, quotient image, synthesis, visual light",
author = "Zeda Zhang and Yunhong Wang and Zhaoxiang Zhang and Guangpeng Zhang",
year = "2011",
doi = "10.1109/ICME.2011.6012113",
language = "英语",
isbn = "9781612843490",
series = "Proceedings - IEEE International Conference on Multimedia and Expo",
booktitle = "Electronic Proceedings of the 2011 IEEE International Conference on Multimedia and Expo, ICME 2011",
note = "2011 12th IEEE International Conference on Multimedia and Expo, ICME 2011 ; Conference date: 11-07-2011 Through 15-07-2011",
}