Sermet Önel, “Modeling Surface Reflection of Metalic Coatings and Estimation of Paint Composition from their Appearance”, June 05, 2015 (Friday)

Computer Engineering Department Seminar #54:

	Title:	Modeling Surface Reflection of Metalic Coatings and Estimation of Paint Composition from their Appearance
	Speaker:	Sermet Önel, Phd. candidate, Yasar University
	Date:	June 05, 2015 (Friday)
	Time:	16:45-17:30
	Venue:	Computer Networks Lab (New building, Level B2.)
	Language:	English

Abstract:
Modern coatings such as metallic and pearlescent paints used in automotive industry consist of a transparent medium which contains absorption pigments and flake-shaped effect pigments. Because of their layered structure, special effect pigments have different reflectance spectra causing some changes in appearance with viewing and illumination directions. However, such changes produce rich visual effects for the coated surface. Given the paint composition a designer can render metallic and pearlescent paints using the underlying information. If the paint composition is not known then the information about the macro appearance attributes such as gloss and shade, and micro-appearance attribute such as glitter of a sample can be used to quantify the appearance of the paint. In this case the problem is transformed into an inverse problem in which the paint composition is estimated from appearance attributes. Recently, a number of methods have been proposed for solving this problem under certain assumptions. These methods are mainly based on using BRDF obtained from the surface appearance and estimating the paint composition from this BRDF information. In this presentation, characterization of the color effect coatings through spectral BRDF measurements obtained for a small number of viewing and illumination directions are explained. Considering the wave length as a variable in the BRDF, spectral BRDF measurements obtained in the visible spectrum will be used as input for the inverse solution of the rendering problem.