Comparing a Clipmap to a Sparse Voxel Octree for Global Illumination
dc.contributor.author | Arnebäck, Eric | |
dc.contributor.department | Chalmers tekniska högskola / Institutionen för data- och informationsteknik (Chalmers) | sv |
dc.contributor.department | Chalmers University of Technology / Department of Computer Science and Engineering (Chalmers) | en |
dc.date.accessioned | 2019-07-03T14:27:56Z | |
dc.date.available | 2019-07-03T14:27:56Z | |
dc.date.issued | 2017 | |
dc.description.abstract | Voxel cone tracing is a real-time method that approximates global illumination using a voxel approximation of the original scene. However, a high-resolution voxel approximation, which is necessary for good quality, consumes much memory, and a compact data structure for storing the voxels is necessary. In this thesis, as a primary contribution, we provide a comparison of two such data structures: a Sparse Voxel Octree, and a Clipmap. We implement these two data structures, and provide detailed descriptions of both with many important implementation details. These descriptions are much more complete than what exists in the current literature, and it is the secondary contribution of this thesis. In the comparison, we find that the octree performs worse than the clipmap with respect to memory consumption and performance, due to the overhead introduced by the complex octree data structure. However, with respect to visual quality, the octree is the superior choice, since the clipmap does not provide the same voxel resolution everywhere. | |
dc.identifier.uri | https://hdl.handle.net/20.500.12380/249762 | |
dc.language.iso | eng | |
dc.setspec.uppsok | Technology | |
dc.subject | Informations- och kommunikationsteknik | |
dc.subject | Data- och informationsvetenskap | |
dc.subject | Information & Communication Technology | |
dc.subject | Computer and Information Science | |
dc.title | Comparing a Clipmap to a Sparse Voxel Octree for Global Illumination | |
dc.type.degree | Examensarbete för masterexamen | sv |
dc.type.degree | Master Thesis | en |
dc.type.uppsok | H | |
local.programme | Computer science – algorithms, languages and logic (MPALG), MSc |
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