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dc.contributor.authorBanzhaf, Wolfgangde
dc.contributor.authorKeller, Robert E.de
dc.contributor.authorMehnen, Jörnde
dc.contributor.authorWeinert, Klausde
dc.date.accessioned2004-12-07T08:19:49Z-
dc.date.available2004-12-07T08:19:49Z-
dc.date.created1998de
dc.date.issued2001-10-16de
dc.identifier.urihttp://hdl.handle.net/2003/5358-
dc.identifier.urihttp://dx.doi.org/10.17877/DE290R-5021-
dc.description.abstractSurface reconstruction is a hard key problem in the industrial domain of computer-aided design (CAD) applications. A physical object, like a workpiece, must be represented in some standard CAD object description format such that its representation can be efficiently used in a CAD process like redesign. To that end, a digitizing process represents the object surface as a weakly-structured discrete and digitized set of 3D points. Surface reconstruction attempts to transform this representation into an efficient CAD representation. Certain classic approaches produce inefficient reconstructions of surface areas that do not correspond to construction logic. Here, a new reconstruction principle in form of a computational-intelligence-based software system is presented that yields logical and efficient representations.en
dc.format.extent216685 bytes-
dc.format.extent7929856 bytes-
dc.format.mimetypeapplication/pdf-
dc.format.mimetypeapplication/postscript-
dc.language.isoende
dc.publisherUniversität Dortmundde
dc.relation.ispartofseriesReihe Computational Intelligence ; 44de
dc.subjectcomputational intelligence (CI)en
dc.subjectcomputer-aided design (cad)en
dc.subjectconstructive solid geometry (CSG)en
dc.subjectdigitized point dataen
dc.subjectevolution strategy (ES)en
dc.subjectgenetic programming (GP)en
dc.subjectincremental optimizationen
dc.subjectinteractive evolutionen
dc.subjectmulti-criteria optimizationen
dc.subjectpattern recognitionen
dc.subjectstructure evolutionen
dc.subjectsurface reconstructionen
dc.subject.ddc004de
dc.titleSurface Reconstruction from 3D Point Data with a Genetic Programming/Evolution Strategy hybriden
dc.typeTextde
dc.type.publicationtypereport-
dcterms.accessRightsopen access-
Appears in Collections:Sonderforschungsbereich (SFB) 531

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