<div class="csl-bib-body">
<div class="csl-entry">Schütz, M. (2021). <i>Interactive exploration of point clouds</i> [Dissertation, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2021.91668</div>
</div>
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dc.identifier.uri
https://doi.org/10.34726/hss.2021.91668
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dc.identifier.uri
http://hdl.handle.net/20.500.12708/17701
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dc.description.abstract
Laser scanning, photogrammetry and other 3D scanning approaches generate data sets comprising millions to trillions of points. Modern GPUs can easily render a few million and up to tens of millions of points in real time, but data sets with hundreds of millions of points and more require acceleration structures to be rendered in real time. In this thesis, we present three contributions to the state of the art with the goal of improving the performance as well as the quality of real-time rendered point clouds. Two of our contributions address the performance of LOD structure generation. State-of-the-art approaches achieve a throughput of up to around 1 million points per second, which requires users to wait minutes even for smaller data sets with a few hundred million points. Our proposed solutions are: A bottom-up LOD generation approach that creates LOD structures up to an order of magnitude faster than previous work, and a progressive rendering approach that is capable of rendering any point cloud that fits in GPU memory in real time, without the need to generate LOD structures at all. The former achieves a throughput of up to 10 million points per second, and the latter is capable of loading point clouds at rates of up to 37 million points per second from an industry-standard point-cloud format (LAS), and up to 100 million points per second if the file format matches the vertex buffer format. Since it does not need LOD structures, the progressive rendering approach can render already loaded points right away while additional points are still being loaded.Our third contribution improves the quality of LOD-based point-cloud rendering by introducing a continuous level-of-detail approach that produces gradual transitions in point density, rather than the characteristic and noticeable blocks from discrete LOD structures. It is mainly targeted towards VR applications, where discrete levels of detail are especially noticeable and disturbing, in a large part due to the popping of chunks of points during motion.
en
dc.language
English
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dc.language.iso
en
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dc.rights.uri
http://rightsstatements.org/vocab/InC/1.0/
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dc.subject
point-based rendering
en
dc.subject
level of detail
en
dc.subject
real-time rendering
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dc.title
Interactive exploration of point clouds
en
dc.type
Thesis
en
dc.type
Hochschulschrift
de
dc.rights.license
In Copyright
en
dc.rights.license
Urheberrechtsschutz
de
dc.identifier.doi
10.34726/hss.2021.91668
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dc.contributor.affiliation
TU Wien, Österreich
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dc.rights.holder
Markus Schütz
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dc.publisher.place
Wien
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tuw.version
vor
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tuw.thesisinformation
Technische Universität Wien
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tuw.publication.orgunit
E193 - Institut für Visual Computing and Human-Centered Technology
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dc.type.qualificationlevel
Doctoral
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dc.identifier.libraryid
AC16224349
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dc.description.numberOfPages
107
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dc.thesistype
Dissertation
de
dc.thesistype
Dissertation
en
dc.rights.identifier
In Copyright
en
dc.rights.identifier
Urheberrechtsschutz
de
tuw.advisor.staffStatus
staff
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tuw.advisor.orcid
0000-0002-9370-2663
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item.languageiso639-1
en
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item.openairetype
doctoral thesis
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item.grantfulltext
open
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item.fulltext
with Fulltext
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item.cerifentitytype
Publications
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item.mimetype
application/pdf
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item.openairecristype
http://purl.org/coar/resource_type/c_db06
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item.openaccessfulltext
Open Access
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crisitem.author.dept
E193-02 - Forschungsbereich Computer Graphics
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crisitem.author.parentorg
E193 - Institut für Visual Computing and Human-Centered Technology