Authors: Banzhaf, Wolfgang
Keller, Robert E.
Mehnen, Jörn
Weinert, Klaus
Title: Surface Reconstruction from 3D Point Data with a Genetic Programming/Evolution Strategy hybrid
Language (ISO): en
Abstract: Surface 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.
Subject Headings: computational intelligence (CI)
computer-aided design (cad)
constructive solid geometry (CSG)
digitized point data
evolution strategy (ES)
genetic programming (GP)
incremental optimization
interactive evolution
multi-criteria optimization
pattern recognition
structure evolution
surface reconstruction
Issue Date: 2001-10-16
Provenance: Universität Dortmund
Appears in Collections:Sonderforschungsbereich (SFB) 531

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