Three-dimensional facial recognition using passive long-wavelength infrared polarimetric imaging

We use a polarimetric camera to record the Stokes parameters and the degree of linear polarization of long-wavelength infrared radiation emitted by human faces. These Stokes images are combined with Fresnel relations to extract the surface normal at each pixel. Integrating over these surface normals...

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Bibliographic Details
Published in:Applied optics (2004) 2014-12, Vol.53 (36), p.8514-8521
Main Authors: Yuffa, Alex J, Gurton, Kristan P, Videen, Gorden
Format: Article
Language:English
Subjects:
Background noise
Face recognition
Imaging
Inversions
Passive imaging
Stokes parameters
Three dimensional
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Summary:We use a polarimetric camera to record the Stokes parameters and the degree of linear polarization of long-wavelength infrared radiation emitted by human faces. These Stokes images are combined with Fresnel relations to extract the surface normal at each pixel. Integrating over these surface normals yields a three-dimensional facial image. One major difficulty of this technique is that the normal vectors determined from the polarizations are not unique. We overcome this problem by introducing an additional boundary condition on the subject. The major sources of error in producing inversions are noise in the images caused by scattering of the background signal and the ambiguity in determining the surface normals from the Fresnel coefficients.
ISSN:1559-128X
2155-3165
DOI:10.1364/AO.53.008514