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Volume: 4 | Article ID: art00105
Accurate reflectance prediction in multi-angle measurement
  DOI :  10.2352/CGIV.2008.4.1.art00105  Published OnlineJanuary 2008

This study focuses on finding the best viewing angles so that accurate reflectance prediction could be achieved in multi-angle measurement of metallic and pearlescent samples. The root mean square error (RMSE) produced by the reconstruction from the first seven Principle component vectors (PCV), the cumulative contribution being 99.92 percent, were analyzed to find the best viewing angles 10°, 65°, 95°, 120°, 145°, 155° and 170° in clock wise direction from the surface for illumination angle of 45°. The error difference resulted by prediction using cubic interpolation and proposed Principle component analysis (PCA) based method were compared. The prediction by PCA based method outperforms the prediction by cubic interpolation. The method can be employed not only to metallic and pearlescent samples but to all non lambertian surfaces.

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Pesal Koirala, Markku Hauta-Kasari, Jouni Hiltunen, Jussi Parkkinen, "Accurate reflectance prediction in multi-angle measurementin Proc. IS&T CGIV 2008/MCS'08 4th European Conf. on Colour in Graphics, Imaging, and Vision 10th Int'l Symp. on Multispectral Colour Science,  2008,  pp 489 - 493,

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