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.
Verfasser*innenangaben: | Christopher Weber |
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URN: | urn:nbn:de:hbz:386-kluedo-28090 |
ISBN: | 978-3-941438-83-5 |
ISSN: | 1610-2673 |
Schriftenreihe (Bandnummer): | Schriftenreihe / Fachbereich Informatik (31) |
Verlag: | TU Kaiserslautern |
Verlagsort: | Kaiserslautern |
Betreuer*in: | Hans Hagen |
Dokumentart: | Dissertation |
Sprache der Veröffentlichung: | Englisch |
Datum der Veröffentlichung (online): | 30.12.2011 |
Jahr der Erstveröffentlichung: | 2012 |
Veröffentlichende Institution: | Technische Universität Kaiserslautern |
Titel verleihende Institution: | Technische Universität Kaiserslautern |
Datum der Annahme der Abschlussarbeit: | 23.08.2011 |
Datum der Publikation (Server): | 30.11.2011 |
Seitenzahl: | 161 |
Fachbereiche / Organisatorische Einheiten: | Kaiserslautern - Fachbereich Informatik |
DDC-Sachgruppen: | 0 Allgemeines, Informatik, Informationswissenschaft / 004 Informatik |
Lizenz (Deutsch): | Standard gemäß KLUEDO-Leitlinien vom 16.11.2011 |