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Methods for Detection and Reconstruction of Sharp Features in Point Cloud Data

  • Today, polygonal models occur everywhere in graphical applications, since they are easy to render and to compute and a very huge set of tools are existing for generation and manipulation of polygonal data. But modern scanning devices that allow a high quality and large scale acquisition of complex real world models often deliver a large set of points as resulting data structure of the scanned surface. A direct triangulation of those point clouds does not always result in good models. They often contain problems like holes, self-intersections and non manifold structures. Also one often looses important surface structures like sharp corners and edges during a usual surface reconstruction. So it is suitable to stay a little longer in the point based world to analyze the point cloud data with respect to such features and apply a surface reconstruction method afterwards that is known to construct continuous and smooth surfaces and extend it to reconstruct sharp features.

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Metadaten
Author:Christopher Weber
URN (permanent link):urn:nbn:de:hbz:386-kluedo-28090
ISBN:978-3-941438-83-5
ISSN:1610-2673
Serie (Series number):Schriftenreihe / Fachbereich Informatik (31)
Publisher:TU Kaiserslautern
Place of publication:Kaiserslautern
Advisor:Hans Hagen
Document Type:Doctoral Thesis
Language of publication:English
Publication Date:2011/12/30
Year of Publication:2012
Publishing Institute:Technische Universität Kaiserslautern
Granting Institute:Technische Universität Kaiserslautern
Acceptance Date of the Thesis:2011/08/23
Date of the Publication (Server):2011/11/30
Number of page:161
Faculties / Organisational entities:Fachbereich Informatik
DDC-Cassification:0 Allgemeines, Informatik, Informationswissenschaft / 004 Informatik
Licence (German):Standard gemäß KLUEDO-Leitlinien vom 16.11.2011