BRDF Slices: Accurate Adaptive Anisotropic Appearance Acquisition

Jiří Filip Radomír Vávra Michal Haindl Pavel Žid Mikuláš Krupička Vlastimil Havran
Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, pp. 4321-4326, 2013
In this paper we introduce unique publicly available dense anisotropic BRDF data measurements. We use this dense data as a reference for performance evaluation of the proposed BRDF sparse angular sampling and interpolation approach. The method is based on sampling of BRDF subspaces at fixed elevations by means of several adaptively-represented, uniformly distributed, perpendicular slices. Although this proposed method requires only a sparse sampling of material, the interpolation provides a very accurate reconstruction, visually and computationally comparable to densely measured reference. Due to the simple slices measurement and method’s robustness it allows for a highly accurate acquisition of BRDFs. This in comparison with standard uniform angular sampling, is considerably faster yet uses far less samples.