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Kirchner, Eric and Ravi, Jyotsna (2012) Predicting and Measuring the Perceived Texture of Car Paints. In: Predicting Perceptions: Proceedings of the 3rd International Conference on Appearance. Lulu Press, Edinburgh UK, pp. 25-28. ISBN 978-1-4716-6869-2

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Abstract

In this paper, we describe new methods to predict and measure the perceived texture of car paints. Previously, we have shown that the perceived texture of car paints can best be described by two parameters, Glint impression and Diffuse coarseness. The actually perceived texture is a combination of these, depending mainly on the relative contributions of diffuse versus directional lighting. Commercially available instruments have been developed to accurately measure these texture parameters. As a next step, the paint industry requires a texture model that uses the paint composition as input and produces predicted values for the texture parameters as output. We describe two different types of texture models, which are based on either physical considerations or on a simple statistical approach. We compare the accuracy of the models with the visual accuracy of assessing texture.

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