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dc.contributor.authorSchütz, Markusen_US
dc.contributor.authorKerbl, Bernharden_US
dc.contributor.authorKlaus, Philipen_US
dc.contributor.authorWimmer, Michaelen_US
dc.contributor.editorBikker, Jaccoen_US
dc.contributor.editorGribble, Christiaanen_US
dc.date.accessioned2023-06-25T09:04:16Z
dc.date.available2023-06-25T09:04:16Z
dc.date.issued2023
dc.identifier.issn1467-8659
dc.identifier.urihttps://doi.org/10.1111/cgf.14877
dc.identifier.urihttps://diglib.eg.org:443/handle/10.1111/cgf14877
dc.description.abstractAbout: We introduce a GPU-accelerated LOD construction process that creates a hybrid voxel-point-based variation of the widely used layered point cloud (LPC) structure for LOD rendering and streaming. The massive performance improvements provided by the GPU allow us to improve the quality of lower LODs via color filtering while still increasing construction speed compared to the non-filtered, CPU-based state of the art. Background: LOD structures are required to render hundreds of millions to trillions of points, but constructing them takes time. Results: LOD structures suitable for rendering and streaming are constructed at rates of about 1 billion points per second (with color filtering) to 4 billion points per second (sample-picking/random sampling, state of the art) on an RTX 3090 - an improvement of a factor of 80 to 400 times over the CPU-based state of the art (12 million points per second). Due to being in-core, model sizes are limited to about 500 million points per 24GB memory. Discussion: Our method currently focuses on maximizing in-core construction speed on the GPU. Issues such as out-of-core construction of arbitrarily large data sets are not addressed, but we expect it to be suitable as a component of bottom-up out-of-core LOD construction schemes.en_US
dc.publisherThe Eurographics Association and John Wiley & Sons Ltd.en_US
dc.subjectCCS Concepts: Computing methodologies -> Rendering
dc.subjectComputing methodologies
dc.subjectRendering
dc.titleGPU-Accelerated LOD Generation for Point Cloudsen_US
dc.description.seriesinformationComputer Graphics Forum
dc.description.sectionheadersGPU Computing
dc.description.volume42
dc.description.number8
dc.identifier.doi10.1111/cgf.14877
dc.identifier.pages11 pages


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