Distance Based Feature Detection on 3D Point Sets

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dc.contributor.authorRamli, Ahmaden_US
dc.contributor.authorIvrissimtzis, Ioannisen_US
dc.contributor.editorWen Tang and John Collomosseen_US
dc.date.accessioned2014-01-31T20:06:41Z
dc.date.available2014-01-31T20:06:41Z
dc.date.issued2009en_US
dc.description.abstractWe propose a distance based algorithm for implicit feature detection on 3D point sets. Instead of directly determining whether a point belongs to a feature of the 3D point set or not, we first compute the distance between the point and its nearest feature. The obtained distance function is filtered, removing noise and outliers, and the features of the point set are computed as the zero set of the filtered function. Initial tests show that the proposed method is robust and can deal with amount of noise usually expected in a point set.en_US
dc.description.seriesinformationTheory and Practice of Computer Graphicsen_US
dc.identifier.isbn978-3-905673-71-5en_US
dc.identifier.urihttps://doi.org/10.2312/LocalChapterEvents/TPCG/TPCG09/053-056en_US
dc.publisherThe Eurographics Associationen_US
dc.subjectCategories and Subject Descriptors (according to ACM CCS): I.3.5 [Computer Graphics]: Computational Geometry and Object Modelingen_US
dc.titleDistance Based Feature Detection on 3D Point Setsen_US
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EG UK Theory and Practice of Computer Graphics 2009