<div class="csl-bib-body">
<div class="csl-entry">Rainer, B. (2017). <i>Interactive shape detection in Out-Of-Core point clouds for assisted user interactions</i> [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2017.45222</div>
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dc.identifier.uri
https://doi.org/10.34726/hss.2017.45222
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dc.identifier.uri
http://hdl.handle.net/20.500.12708/2984
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dc.description.abstract
This thesis presents a semi-automated method for shape detection in out-of-core point clouds. Rather than performing shape detection on the entire point cloud at once, a user-controlled interaction determines the region that is to be segmented next. By keeping the size of the region and the number of points small, the algorithm produces meaningful results within a fraction of a second. Thus, the user is presented immediately with feedback on the local geometry. As modern point clouds can contain billions of points and the memory capacity of consumer PCs is usually insufficient to hold all points in memory at the same time, a level-of-detail data structure is used to store the point cloud on the hard disc, and data is loaded into memory only on use. This data structure partitions the point cloud into small regions, each containing around 5000 points, that are used for rendering and shape detection. Interacting with point clouds is a particularly demanding task. A precise selection of a region of interest, using the two-dimensional lasso interaction, often needs multiple view changes and subsequent improvements. This thesis proposes improvements to the lasso interaction, by performing selection only on the set of points that are approximated by a detected shape. Thus, the selection of undesired points in the fore- and background is reduced. Point picking is improved as well by the use of a detected shape, such that only points that are approximated by this shape are pick-able. The result of this thesis is an application that allows the user to view point clouds with millions of points. It also provides a novel interaction technique for quick local shape detection as well as shape-assisted interactions that utilize this local semantic information to improve the user's workflow.
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
de
dc.subject
out-of-core rendering
de
dc.subject
shape detection
de
dc.subject
point-based rendering
en
dc.subject
out-of-core rendering
en
dc.subject
shape detection
en
dc.title
Interactive shape detection in Out-Of-Core point clouds for assisted user interactions
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.2017.45222
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dc.contributor.affiliation
TU Wien, Österreich
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dc.rights.holder
Bernhard Rainer
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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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dc.contributor.assistant
Wimmer, Michael
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tuw.publication.orgunit
E186 - Institut für Computergraphik und Algorithmen
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dc.type.qualificationlevel
Diploma
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dc.identifier.libraryid
AC14520234
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dc.description.numberOfPages
92
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dc.identifier.urn
urn:nbn:at:at-ubtuw:1-106452
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dc.thesistype
Diplomarbeit
de
dc.thesistype
Diploma Thesis
en
dc.rights.identifier
In Copyright
en
dc.rights.identifier
Urheberrechtsschutz
de
tuw.advisor.staffStatus
exstaff
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tuw.assistant.staffStatus
staff
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tuw.assistant.orcid
0000-0002-9370-2663
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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_bdcc
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item.languageiso639-1
en
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item.openaccessfulltext
Open Access
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item.openairetype
master thesis
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item.grantfulltext
open
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crisitem.author.dept
E188 - Institut für Softwaretechnik und Interaktive Systeme