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Gamut Mapping Spatially Varying Reflectance with an Improved BRDF Similarity Metric
Computer Graphics Forum (Proc. Eurographics Symposium on Rendering), June 2012

Thiago Pereira, Szymon Rusinkiewicz


We address the problem of mapping a BRDF to a constrained gamut, such that it is close according to some similarity metric. Our metric (right) achieves better reproductions of the target material (left) when seen inside natural lighting environments compared to Matusik et al. (middle left) and Pellacini et al. (middle right).

Abstract

Recent spatially varying reflectance (svBRDF) printing systems can reproduce an input document as a combination of matte, glossy and metallic inks. Due to the limited number of inks, this reproduction process incurs some distortion. In this work, we present an svBRDF gamut mapping algorithm that minimizes distortions in the angular and spatial domains. To preserve a materialís perceived variation with lighting and view, we introduce an improved BRDF similarity metric that builds on both experimental results on reflectance perception and on the statistics of natural lighting environments. Our experiments show better preservation of object color and highlights, as validated quantitatively as well as through a perceptual study. As for the spatial domain, we show how to adapt traditional color gamut mapping methods to svBRDFs. Our solution takes into account the contrast between regions, achieving better preservation of textures and edges.

Citation (BibTeX)

Thiago Pereira and Szymon Rusinkiewicz. Gamut Mapping Spatially Varying Reflectance with an Improved BRDF Similarity Metric. Computer Graphics Forum (Proc. Eurographics Symposium on Rendering) 31(4), June 2012.

Paper
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Supplementary Material
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