Face Recognition in Hyperspectral Images

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Face Recognition in Hyperspectral Images (2003)

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by Zhihong Pan , Student Member , Glenn Healey , Senior Member , Manish Prasad , Bruce Tromberg

Venue:	IEEE Trans. Pattern Analysis and Machine Intelligence
Citations:	67 - 0 self

BibTeX

@ARTICLE{Pan03facerecognition,
    author = {Zhihong Pan and Student Member and Glenn Healey and Senior Member and Manish Prasad and Bruce Tromberg},
    title = {Face Recognition in Hyperspectral Images},
    journal = {IEEE Trans. Pattern Analysis and Machine Intelligence},
    year = {2003},
    pages = {1552--1560}
}

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Abstract

Abstract—Hyperspectral cameras provide useful discriminants for human face recognition that cannot be obtained by other imaging methods. We examine the utility of using near-infrared hyperspectral images for the recognition of faces over a database of 200 subjects. The hyperspectral images were collected using a CCD camera equipped with a liquid crystal tunable filter to provide 31 bands over the near-infrared (0.7 m-1.0 m). Spectral measurements over the near-infrared allow the sensing of subsurface tissue structure which is significantly different from person to person, but relatively stable over time. The local spectral properties of human tissue are nearly invariant to face orientation and expression which allows hyperspectral discriminants to be used for recognition over a large range of poses and expressions. We describe a face recognition algorithm that exploits spectral measurements for multiple facial tissue types. We demonstrate experimentally that this algorithm can be used to recognize faces over time in the presence of changes in facial pose and expression. Index Terms—Face recognition, hyperspectral. æ

Keyphrases

face recognition hyperspectral image spectral measurement near-infrared hyperspectral image human tissue large range multiple facial tissue type human face recognition ccd camera index term face recognition useful discriminants facial pose local spectral property hyperspectral discriminants abstract hyperspectral camera subsurface tissue structure liquid crystal tunable filter

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