Open Access Paper
12 August 2004 Hyperspectral face recognition under variable outdoor illumination
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Abstract
We examine the performance of illumination-invariant face recognition in outdoor hyperspectral images using a database of 200 subjects. The hyperspectral camera acquires 31 bands over the 700-1000nm spectral range. Faces are represented by local spectral information for several tissue types. Illumination variation is modeled by low-dimensional spectral radiance subspaces. Invariant subspace projection over multiple tissue types is used for recognition. The experiments consider various face orientations and expressions. The analysis includes experiments for images synthesized using face reflectance images of 200 subjects and a database of over 7,000 outdoor illumination spectra. We also consider experiments that use a set of face images that were acquired under outdoor illumination conditions.
© (2004) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Zhihong Pan, Glenn E. Healey, Manish Prasad, and Bruce J. Tromberg "Hyperspectral face recognition under variable outdoor illumination", Proc. SPIE 5425, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery X, (12 August 2004); https://doi.org/10.1117/12.543102
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Cited by 26 scholarly publications.
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KEYWORDS
Tissues

Facial recognition systems

Reflectivity

Hyperspectral imaging

Databases

Calibration

Cameras

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