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Real-time Hardware-accelerated Relighting with Approximate Indirect Illumination

Author
Hasan, Milos; Pellacini, Fabio; Bala, Kavita
Abstract
Deep framebuffer relighting engines are often used to speed up
lighting design in geometricallycomplex procedurally-shaded environments where they provide interactive feedback on changes to the direct illumination. This paper presents an extension to these algorithms by providing real-time feedback for one-bounce indirect illumination. This is achieved by relighting a set of cached gather samples generated from the original geometry using a Monte Carlo gathering approach. To improve performance and decrease storage, the gather samples are clustered such that the resulting data structures are efficient for evaluation on modern GPUs. The hardware-accelerated implementation of our algorithm achieves real-time performance and is scalable to environments with high geometric and material complexity while supporting arbitrary direct lighting models, including local ones, and diffuse and glossy materials.
Date Issued
2005-07-09Publisher
Cornell University
Subject
computer science; technical report
Previously Published As
http://techreports.library.cornell.edu:8081/Dienst/UI/1.0/Display/cul.cis/TR2005-1999
Type
technical report