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An efficient and practical 3D face scanner using near infrared and visible photometric stereo

Atkinson, Gary; Hansen, Mark F; Smith, Melvyn; Smith, Lyndon

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Authors

Mark Hansen Mark.Hansen@uwe.ac.uk
Professor of Machine Vision and Machine Learning

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Melvyn Smith Melvyn.Smith@uwe.ac.uk
Research Centre Director Vision Lab/Prof

Lyndon Smith Lyndon.Smith@uwe.ac.uk
Professor in Computer Simulation and Machine



Abstract

This paper is concerned with the acquisition of model data for automatic 3D face recognition applications. As 3D methods become progressively more popular in face recognition research, the need for fast and accurate data capture has become crucial. This paper is motivated by this need and offers three primary contributions. Firstly, the paper demonstrates that four-source photometric stereo offers a potential means for data capture that is computationally and financially viable and easily deployable in commercial settings. We have shown that both visible light and less intrusive near infrared light is suitable for facial illumination. The second contribution is a detailed set of experimental results that compare the accuracy of the device to ground truth, which was captured using a commercial projected pattern range finder. Importantly, we show that not only is near infrared light a valid alternative to the more commonly exploited visible light, but that it actually gives more accurate reconstructions. Finally, we assess the validity of the Lambertian assumption on skin reflectance data and show that better results may be obtained by incorporating more advanced reflectance functions, such as the Oren-Nayar model.

Citation

Atkinson, G., Hansen, M. F., Smith, M., & Smith, L. (2010, September). An efficient and practical 3D face scanner using near infrared and visible photometric stereo. Paper presented at International Conference and Exhibition on Biometrics Technology, Coimbatore, India

Presentation Conference Type Conference Paper (unpublished)
Conference Name International Conference and Exhibition on Biometrics Technology
Conference Location Coimbatore, India
Start Date Sep 2, 2010
End Date Sep 4, 2010
Publication Date Dec 1, 2010
Deposit Date Nov 8, 2012
Publicly Available Date Feb 9, 2016
Peer Reviewed Peer Reviewed
Pages 11-19
Keywords photometric stereo, face recognition, 3D acquisition, infrared light, visible light
Public URL https://uwe-repository.worktribe.com/output/972966
Publisher URL http://www.sciencedirect.com/science/article/pii/S1877050910003339
Additional Information Title of Conference or Conference Proceedings : Proceedings of the International Conference and Exhibition on Biometrics Technology

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