Full-text resources of PSJD and other databases are now available in the new Library of Science.
Visit https://bibliotekanauki.pl


Preferences help
enabled [disable] Abstract
Number of results


2007 | 5 | 3 | 416-427

Article title

Prediction of optical properties of paints


Title variants

Languages of publication



The field of predictive rendering concerns itself with those methods of image synthesis which yield results that do not only look real, but are also radiometrically correct renditions of nature, i.e., which are accurate predictions of what a real scene would look like under given lighting conditions. A real coating consists of pigments, effect pigments, clear lacquer and glaze. A novel and unique combination of real parameters that are commonly measured in the industry and a theoretical reflectance model consisting of measurable parameters is required. Here, the authors design perception parameters and put them into well known surface reflection functions such as He and Torrance. The original contributions are the study of the sub-surface scattering of real paint and the prediction of its appearance in rendered images by the proposed model of light reflection beneath the paint surface.










Physical description


1 - 9 - 2007
8 - 6 - 2007


  • Faculty of Natural Sciences, University of Saint Cyril and Metod, 917 01, Trnava, Slovakia
  • Faculty of Mathematics, Physics and Informatics, Comenius University, 842 48, Bratislava, Slovakia


  • [1] ASTM D 523-89:1999, Standard Test Method for Specular Gloss, Vol. 06.01 of Annual Book of ASTM Standards.
  • [2] C.S. McCamy: “Observation and Measurement of the Appearance of Metallic Materials. Part I. Macro Appearance”, Col. Res. App., Vol. 21, (1996), pp. 292–304. http://dx.doi.org/10.1002/(SICI)1520-6378(199608)21:4<292::AID-COL4>3.0.CO;2-L[Crossref]
  • [3] R.L. Cook and K. E. Torrance: “A Reflectance Model for Computer Graphics”, Acm. T. Graphic., Vol. 1, (1982), pp. 7–24. http://dx.doi.org/10.1145/357290.357293[Crossref]
  • [4] Cassidy J. Curtis, Sean E. Anderson, Joshua E. Seims, Kurt W. Fleischer and David H. Salesin: “Computer-Generated Watercolor”, In: Proceedings of SIGGRAPH 97, ACM Press, 1997, pp. 421–430.
  • [5] R. Ďurikovič, K. Kolchin and S. Ershov: “Rendering of Japanese Artcraft”, In: I.N. Alvaro and Ph. Slusallek (Ed.): Proceedings of the EUROGRAPHICS short presentations, Blackwell Publishers, UK, 2002, pp. 131–138.
  • [6] S. Ershov, R. Ďurikovič, K. Kolchin and K. Myszkowski: “Reverse Engineering Approach to Appearance-based Design of Metallic and Pearlescent Paints”, The Visual Computer, Vols. 8-9, (2004), pp. 586–599. http://dx.doi.org/10.1007/s00371-004-0248-0[Crossref]
  • [7] J. Günther, T. Chen, M. Goesele, I. Wald and H.-P. Seidel: “Efficient Acquisition and Realistic Rendering of Car Paint”, In: Vision, Modeling, and Visualization, Akademische Verlagsgesellschaft Aka GmbH, Berlin, 2005, pp. 487–494.
  • [8] Harold B. Westlund and Gary W. Meyer: “Applying Appearance Standards to Light Reflection Models”, In: Proceedings of SIGGRAPH 2001, ACM Press, New York, USA, 2001, pp. 501–510. http://dx.doi.org/10.1145/383259.383318[Crossref]
  • [9] H. Hirayama, K. Kaneda, H. Yamashita and Y. Monden: “An Accurate Illumination Model for Objects Coated with Multilayer Films”, Comput. Graph., Vol. 25, (2001), pp. 391–400. http://dx.doi.org/10.1016/S0097-8493(01)00063-2[Crossref]
  • [10] ISO 2813:1994, Paints and varnishes - Determination of specular gloss of nonmetallic paint films at 20 degrees, 60 degrees and 85 degrees.
  • [11] P. Kubelka and F. Munk: “Ein beitrag zur optik der farbenstriche”, Zurich Tech. Physik, Vol. 12, (1931), pp. 593–561.
  • [12] J. Lawrence, A. Ben-Artzi, C. DeCoro, W. Matusik, H. Pfister, R. Ramamoorthi and S. Rusinkiewicz: “Inverse Shade Trees for Non-Parametric Material Representation and Editing”, Acm. T. Graphic., Vol. 25, (2006), pp. 735–745. http://dx.doi.org/10.1145/1141911.1141949[Crossref]
  • [13] S.R. Marschner: Inverse Rendering for Computer Graphics, Thesis (PhD), Cornell University, 1998.
  • [14] W. Matusik, H. Pfister, M. Brand and L. McMillan: “A Datadriven Reflectance Model”, Acm. T. Graphic., Vol. 22, (2003), pp. 759–769. http://dx.doi.org/10.1145/882262.882343[Crossref]
  • [15] A. Ngan, F. Durand and W. Matusik: “Experimental Validation of Analytical BRDF Models”, In: ACM SIGGRAPH - Sketches and Applications, ACM Press, 2004, pp. 129–138.
  • [16] G. Rosler: “Multigeometry color measurements of effect surfaces”, Die Farben, Vol. 37, (1990), pp. 111–121.
  • [17] H.J.A. Saris, R.J.B. Gottenbos and H. van Houwelingen: “Correlation between visual and instrumental colour differences of metallic paint films”, Col. Res. App., Vol. 15, (1990), pp. 7–24. http://dx.doi.org/10.1002/col.5080150106[Crossref]

Document Type

Publication order reference


YADDA identifier

JavaScript is turned off in your web browser. Turn it on to take full advantage of this site, then refresh the page.