Abstract
Multiple Lobes Cook and Torrance suggest that two or more specular lobes are necessary to model surfaces where there are multiple scales of roughness. Lafortune’s model serve as basis functions for representing BRDFs and thus multiple lobes are also expected in general. To study the effect of an extra lobe, we choose 26 materials from the dataset, typically materials that have multiple layers of nishing, e.g. metallic paints. The tting errors with the Cook-Torrance and the Lafortune models with one and two lobes are shown in Figure 1. In 14 cases for Cook-Torrance and 11 cases for Lafortune, an extra lobe reduces the error by more than 20%. Again, we note that the Lafortune model perform worse than the Cook-Torrance model.
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