Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/40785
Title: Analysis of facial characteristics in spectropolarimetric imagery
Authors: Zhao, Y
Zhang, L 
Yang, T
Wei, P
Yang, H
Keywords: CCD cameras
Facial recognition systems
Liquid crystals
Near infrared
Polarimetry
Polarization
Spectroscopy
Tissues
Tunable filters
Issue Date: 2007
Publisher: SPIE-International Society for Optical Engineering
Source: Proceedings of SPIE : the International Society for Optical Engineering, 2007, v. 6788, 67881E How to cite?
Journal: Proceedings of SPIE : the International Society for Optical Engineering 
Abstract: Spectropolarimetric imaging can provide useful discriminating information for human face recognition that cannot be obtained by other imaging methods. This paper examines the ability of face recognition by using spectropolarimetric images. The Spectropolarimetric images were collected by using a CCD camera equipped with a liquid crystal tunable filter, which could capture 32 bands of images over the visible and near-infrared light (0.4μm-0.72μm). Since polarization techniques have better contrast mechanisms for tissue imaging and spectroscopy, and can also provide additional information about the structure of tissues, it is expected that better discriminate performance can be obtained by using polarimetric and spectral information than just using spectral information. An algorithm for facial characteristics analysis is presented to exploit only the spectropolarimetric information from different types of facial tissues. Experiments demonstrate that the proposed algorithm can distinguish efficiently the different facial tissues.
Description: The Fifth International Symposium on Multispectral Image Processing & Pattern Recognition, Wuhan, China, 15-17 Nov, 2007
URI: http://hdl.handle.net/10397/40785
ISSN: 0277-786X
EISSN: 1996-756X
DOI: 10.1117/12.749461
Appears in Collections:Conference Paper

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