Lattice Based Volumetric Global Illumination

Feng Qiu, Fang Xu, Zhe Fan, Neophytou Neophytos, Arie Kaufman, Klaus Mueller
Department of Computer Science, Stony Brook University, Stony Brook, NY 11794-4400
IEEE Transactions on Visualization and Computer Graphics, 2007, Vol. 13, Issue 6, p.1576-1583


   title={Lattice-based volumetric global illumination},

   author={Qiu, F. and Xu, F. and Fan, Z. and Neophytos, N. and Kaufman, A. and Mueller, K.},

   journal={Visualization and Computer Graphics, IEEE Transactions on},








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We describe a novel volumetric global illumination framework based on the face-centered cubic (FCC) lattice. An FCC lattice has important advantages over a Cartesian lattice. It has higher packing density in the frequency domain, which translates to better sampling efficiency. Furthermore, it has the maximal possible kissing number (equivalent to the number of nearest neighbors of each site), which provides optimal 3D angular discretization among all lattices. We employ a new two-pass (illumination and rendering) global illumination scheme on an FCC lattice. This scheme exploits the angular discretization to greatly simplify the computation in multiple scattering and to minimize illumination information storage. The GPU has been utilized to further accelerate the rendering stage. We demonstrate our new framework with participating media and volume rendering with multiple scattering, where both are significantly faster than traditional techniques with comparable quality.
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