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Linear Efficient Antialiased Displacement and Reflectance Mapping

Jonathan Dupuy 1, 2 Eric Heitz 2, 3 Jean-Claude Iehl 1 Pierre Poulin 2 Fabrice Neyret 3 Victor Ostromoukhov 1 
1 R3AM - Rendu Réaliste pour la Réalité Augmentée Mobile
LIRIS - Laboratoire d'InfoRmatique en Image et Systèmes d'information
3 MAVERICK - Models and Algorithms for Visualization and Rendering
Inria Grenoble - Rhône-Alpes, LJK - Laboratoire Jean Kuntzmann, Grenoble INP - Institut polytechnique de Grenoble - Grenoble Institute of Technology
Abstract : We present Linear Efficient Antialiased Displacement and Reflectance (LEADR) mapping, a reflectance filtering technique for displacement mapped surfaces. Similarly to LEAN mapping, it employs two mipmapped texture maps, which store the first two moments of the displacement gradients. During rendering, the projection of this data over a pixel is used to compute a noncentered anisotropic Beckmann distribution using only simple, linear filtering operations. The distribution is then injected in a new, physically based, rough surface microfacet BRDF model, that includes masking and shadowing effects for both diffuse and specular reflection under directional, point, and environment lighting. Furthermore, our method is compatible with animation and deformation, making it extremely general and flexible. Combined with an adaptive meshing scheme, LEADR mapping provides the very first seamless and hardware-accelerated multi-resolution representation for surfaces. In order to demonstrate its effectiveness, we render highly detailed production models in real time on a commodity GPU, with quality matching supersampled ground-truth images.
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Submitted on : Monday, March 31, 2014 - 8:34:36 AM
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Jonathan Dupuy, Eric Heitz, Jean-Claude Iehl, Pierre Poulin, Fabrice Neyret, et al.. Linear Efficient Antialiased Displacement and Reflectance Mapping. ACM Transactions on Graphics, 2013, Proceedings of Siggraph Asia 2013, 32 (6), pp.Article No. 211. ⟨10.1145/2508363.2508422⟩. ⟨hal-00858220v4⟩



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