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

Created by W.Langdon from gp-bibliography.bib Revision:1.4549

  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 =          "",
  URL =          "",
  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
  size =         "11 pages",

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