2 August 2002 Recognizing faces in hyperspectral images
Author Affiliations +
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.
© (2002) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Zhihong Pan, Glenn Healey, Manish Prasad, Bruce J. Tromberg, "Recognizing faces in hyperspectral images", Proc. SPIE 4725, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery VIII, (2 August 2002); doi: 10.1117/12.478748; https://doi.org/10.1117/12.478748
PROCEEDINGS
9 PAGES


SHARE
KEYWORDS
Facial recognition systems

Reflectivity

Tissues

Hyperspectral imaging

Skin

Calibration

Databases

RELATED CONTENT

Hyperspectral face recognition for homeland security
Proceedings of SPIE (October 10 2003)
An example-based face relighting
Proceedings of SPIE (February 08 2012)
Models for recognizing faces in hyperspectral images
Proceedings of SPIE (August 20 2001)
Illumination-invariant face recognition in hyperspectral images
Proceedings of SPIE (September 23 2003)

Back to Top