<div class="csl-bib-body">
<div class="csl-entry">Marin, D., Ilic, F., Ohrhallinger, S., & Wimmer, M. (2026). SIGnificant Outlier Removal. In T. Bashford-Rogers, D. Meneveaux, M. Ziat, M. Ammi, S. Jänicke, H. Purchase, P. Radeva, A. Furnari, K. Bouatouch, & A. A. de Sousa (Eds.), <i>Computer Vision, Imaging and Computer Graphics Theory and Applications : 19th International Joint Conference, VISIGRAPP 2024, Rome, Italy, February 27–29, 2024, Revised Selected Papers</i> (pp. 67–80). Springer. https://doi.org/10.34726/12023</div>
</div>
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dc.identifier.uri
http://hdl.handle.net/20.500.12708/227617
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dc.identifier.uri
https://doi.org/10.34726/12023
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dc.description.abstract
Point clouds, usually obtained through scanning or various image processing, are commonly affected by noise and outliers. Such artifacts compromise data quality as they significantly distort subsequent processes, such as normal estimation and surface reconstruction. In this work, we introduce a proximity-based outlier removal method for point clouds. We improve on statistical methods based on neighboring graphs by using a parameter-free proximity graph—the spheres-of-influence (SIG), thus requiring fewer parameters compared to classical methods and obtaining better results. Moreover, the simplicity of our method allows it to become an easy replacement for existing statistical methods.
en
dc.description.sponsorship
WWTF Wiener Wissenschafts-, Forschu und Technologiefonds
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dc.language.iso
en
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dc.relation.ispartofseries
Communications in Computer and Information Science
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dc.rights.uri
http://rightsstatements.org/vocab/InC/1.0/
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dc.subject
Outlier removal
en
dc.subject
Point clouds
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dc.subject
Proximity graphs
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dc.title
SIGnificant Outlier Removal
en
dc.type
Inproceedings
en
dc.type
Konferenzbeitrag
de
dc.rights.license
Urheberrechtsschutz
de
dc.rights.license
In Copyright
en
dc.identifier.doi
10.34726/12023
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dc.contributor.affiliation
Graz University of Technology, Austria
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dc.contributor.editoraffiliation
Université de Poitiers, France
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dc.contributor.editoraffiliation
Universitat de Barcelona
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dc.contributor.editoraffiliation
Universidade do Porto, Portugal
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dc.relation.isbn
978-3-032-07623-6
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dc.relation.issn
1865-0929
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dc.description.startpage
67
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dc.description.endpage
80
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dc.relation.grantno
ICT19-009
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dc.type.category
Full-Paper Contribution
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dc.relation.eissn
1865-0937
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tuw.booktitle
Computer Vision, Imaging and Computer Graphics Theory and Applications : 19th International Joint Conference, VISIGRAPP 2024, Rome, Italy, February 27–29, 2024, Revised Selected Papers
