Optimal Surface Reconstruction from Digitized Point Data using CI Methods

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DC Field	Value	Language
dc.contributor.author	Mehnen, J.	de
dc.contributor.author	Prestifilipp, G.	de
dc.contributor.author	Weinert, K.	de
dc.date.accessioned	2004-12-07T08:19:17Z	-
dc.date.available	2004-12-07T08:19:17Z	-
dc.date.created	1997	de
dc.date.issued	1998-11-08	de
dc.identifier.uri	http://hdl.handle.net/2003/5325	-
dc.identifier.uri	http://dx.doi.org/10.17877/DE290R-14203	-
dc.description.abstract	In many scientific and technological endeavors, a three-dimensional solid must be reconstructed from digitized point data. This paper presents three solutions to the problem of reconstructing smooth surfaces using triangular tiles. The presented algorithms differ in their strategic approach. Here, two deterministic algorithms and one non-deterministic CI (computational intelligence) strategy will be described. In order to compare triangulations, two quality criteria will be introduced	en
dc.format.extent	4830742 bytes	-
dc.format.mimetype	application/postscript	-
dc.language.iso	en	de
dc.publisher	Universität Dortmund	de
dc.relation.ispartofseries	Reihe Computational Intelligence ; 5	de
dc.subject.ddc	004	de
dc.title	Optimal Surface Reconstruction from Digitized Point Data using CI Methods	en
dc.type	Text	de
dc.type.publicationtype	report	-
dcterms.accessRights	open access	-
Appears in Collections:	Sonderforschungsbereich (SFB) 531

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