Surface Reconstruction from 3D Point Data with a Genetic Programming/Evolution Strategy hybrid

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@TechReport{Keller:1998:ci44,

• author = "Robert E. Keller and Wolfgang Banzhaf and Jorn Mehnen and Klaus Weinert",
• title = "Surface Reconstruction from {3D} Point Data with a Genetic Programming/Evolution Strategy hybrid",
• institution = "Computer Science, Universitaet Dortmund",
• year = "1998",
• number = "CI-44/98",
• address = "Germany",
• month = sep,
• keywords = "genetic algorithms, genetic programming, computational intelligence (CI), computer-aided design (cad), constructive solid geometry (CSG), digitised point data, evolution strategy (ES), incremental optimisation, interactive evolution, multi-criteria optimization, pattern recognition, structure evolution, surface reconstruction",
• URL = "http://hdl.handle.net/2003/5358",
• URL = "https://eldorado.tu-dortmund.de/bitstream/2003/5358/1/ci44.pdf",
• size = "11 pages",
• 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 digitised 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.",

}

Genetic Programming entries for Robert E Keller Wolfgang Banzhaf Jorn Mehnen Klaus Weinert

Citations