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Issue No.12 - December (2009 vol.31)
pp: 2282-2289
Toni Kuparinen , Lappeenranta University of Technology, Lappeenranta
Ville Kyrki , Lappeenranta University of Technology, Lappeenranta
ABSTRACT
Photometric stereo can be used to obtain a fast and noncontact surface reconstruction of Lambertian surfaces. Despite several published works concerning the uncertainties and optimal light configurations of photometric stereo, no solutions for optimal surface reconstruction from noisy real images have been proposed. In this paper, optimal surface reconstruction methods for approximate planar textured surfaces using photometric stereo are derived, given that the statistics of imaging errors are measurable. Simulated and real surfaces are experimentally studied, and the results validate that the proposed approaches improve the surface reconstruction especially for the high-frequency height variations.
INDEX TERMS
Photometric stereo, photometry, surface reconstruction, Wiener filtering, sharpening and deblurring, roughness.
CITATION
Toni Kuparinen, Ville Kyrki, "Optimal Reconstruction of Approximate Planar Surfaces Using Photometric Stereo", IEEE Transactions on Pattern Analysis & Machine Intelligence, vol.31, no. 12, pp. 2282-2289, December 2009, doi:10.1109/TPAMI.2009.101
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