GPU-based global illumination using Lightcuts
Abstract
Global Illumination aims to generate high quality images. But due to its high requirements, it is usually quite slow. Research documented in this thesis was intended to offer a hardware and software combined acceleration solution to global illumination. The GPU (using CUDA) was the hardware part of the whole method that applied parallelism to increase performance; the "Lightcuts" algorithm proposed by Walter (2005) at SIGGRAPH 2005 acted as the software method. As the results demonstrated in this thesis, this combined method offers a satisfactory performance boost effect for relatively complex scenes.
Degree
M.S.
Advisors
Mohler, Purdue University.
Subject Area
Computer science
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