In this paper the authors have presented a framework for efficient acquisition and rendering of car paint. Their image based acquisition system is easy to build and can measure BRDF of real-world car paint samples quickly and accurately. The acquired BRDF data can be directly used for rendering or it can be used to fit the parameters of a multi-lobe Cook-Torrance BRDF model. They found that the rendered images - using the measured data in either way - look realistic and outperform renderings using other BRDF models (with often manually tuned parameters) in terms of visual quality. As the BRDF cannot represent the microstracture of metallic car paints that is responsible for the sparkling effect they proposed a fast and frame-to-frame coherent method to simulate these effects.
Efficient acquisition and realistic rendering of car paint
Effiziente Erfassung und realistische Darstellung der Farbe von Kraftfahrzeugen
2005
8 Seiten, 7 Bilder, 1 Tabelle, 27 Quellen
Aufsatz (Konferenz)
Englisch
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