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Subsurface Scattering Deconvolution for Improved NIR-Visible Facial Image Correlation

Kittler, J, Windridge, D and Goswami, D (2008) Subsurface Scattering Deconvolution for Improved NIR-Visible Facial Image Correlation In: 8th IEEE International Conference on Automatic Face and Gesture Recognition, 2008-09-17 - 2008-09-19, Amsterdam, NETHERLANDS.

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Abstract

Significant improvements in face-recognition performance have recently been achieved by obtaining near infrared (NIR) probe images. We demonstrate that by taking into account the differential effects of sub-surface scattering, correlation between facial images in the visible (VIS) and NIR wavelengths can be significantly improved. Hence, by using Fourier analysis and Gaussian deconvolution with variable thresholds for the scattering deconvolution radius and frequency, sub-surface scattering effects are largely eliminated from perpendicular isomap transformations of the facial images. (Isomap images are obtained via scanning reconstruction, as in our case, or else, more generically, via model fitting). Thus, small-scale features visible in both the VIS and NIR, such as skin-pores and certain classes of skin-mottling, can be equally weighted within the correlation analysis. The method can consequently serves as the basis for more detailed forms of facial comparison

Item Type: Conference or Workshop Item (UNSPECIFIED)
Authors :
AuthorsEmailORCID
Kittler, JUNSPECIFIEDUNSPECIFIED
Windridge, DUNSPECIFIEDUNSPECIFIED
Goswami, DUNSPECIFIEDUNSPECIFIED
Date : 1 January 2008
Identification Number : https://doi.org/10.1109/AFGR.2008.4813473
Contributors :
ContributionNameEmailORCID
PublisherIEEE, UNSPECIFIEDUNSPECIFIED
Uncontrolled Keywords : Science & Technology, Technology, Computer Science, Artificial Intelligence, Engineering, Electrical & Electronic, Imaging Science & Photographic Technology, Telecommunications, Computer Science, Engineering
Related URLs :
Depositing User : Symplectic Elements
Date Deposited : 28 Mar 2017 13:20
Last Modified : 28 Mar 2017 13:20
URI: http://epubs.surrey.ac.uk/id/eprint/798117

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