Abstract
In this paper we address face authentication based on pro- files extracted from range data. Three kinds of profiles are defined, then extracted, and are combined to classify. For obtaining central profile, a novel robust symmetry plane detection method is proposed. A global profile matching approach based on the partial Hausdor. metric is presented to align and compare profiles, without detection of fiducial points that is often unreliable. To utilize more information in range data, we extract nose-crossing profile and forehead-crossing profile, more than only central profile. The experiments are carried out on a low-quality database with 180 pieces of range data of 30 individuals acquired by structured light system. Based on the experimental results, we observe that the presented scheme can cope with limited quality of facial range data.
This work is partly supported by NSFC (60273059), 863 High-Tech Programme (2001AA4180) and Zhejiang NSF for Young Scientist(RC01058).The authors would like to thank Dr. Charles Beumier for the supply of 3D RMA database.
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Wu, Y., Pan, G., Wu, Z. (2003). Face Authentication Based on Multiple Profiles Extracted from Range Data. In: Kittler, J., Nixon, M.S. (eds) Audio- and Video-Based Biometric Person Authentication. AVBPA 2003. Lecture Notes in Computer Science, vol 2688. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44887-X_61
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DOI: https://doi.org/10.1007/3-540-44887-X_61
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