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Proceedings Paper

Recognizing faces in hyperspectral images
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Paper Abstract

We examine the utility of using near-infrared hyperspectral images for the recognition of human subjects over a database of 137 subjects. Hyperspectral images were collected using a CCD camera equipped with a liquid crystal tunable filter and calibrated to spectral reflectance. The face recognition algorithm exploits spectral measurements for individual facial tissue types and combinations of facial tissue types. We demonstrate experimentally that hyperspectral images provide the opportunity to recognize faces independent of facial expression and face orientation.

Paper Details

Date Published: 2 August 2002
PDF: 9 pages
Proc. SPIE 4725, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery VIII, (2 August 2002); doi: 10.1117/12.478748
Show Author Affiliations
Zhihong Pan, Univ. of California/Irvine (United States)
Glenn Healey, Univ. of California/Irvine (United States)
Manish Prasad, Univ. of California/Irvine (United States)
Bruce J. Tromberg, Univ. of California/Irvine (United States)


Published in SPIE Proceedings Vol. 4725:
Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery VIII
Sylvia S. Shen; Paul E. Lewis, Editor(s)

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