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

Created by W.Langdon from gp-bibliography.bib Revision:1.3872

@InCollection{keller:1999:aigp3,
  author =       "Robert E. Keller and Wolfgang Banzhaf and 
                 Jorn Mehnen and Klaus Weinert",
  title =        "CAD Surface Reconstruction from Digitized {3D} Point
                 Data with a Genetic Programming/Evolution Strategy
                 hybrid",
  booktitle =    "Advances in Genetic Programming 3",
  publisher =    "MIT Press",
  year =         "1999",
  editor =       "Lee Spector and William B. Langdon and 
                 Una-May O'Reilly and Peter J. Angeline",
  chapter =      "3",
  pages =        "41--65",
  address =      "Cambridge, MA, USA",
  month =        jun,
  keywords =     "genetic algorithms, genetic programming",
  ISBN =         "0-262-19423-6",
  URL =          "http://www.cs.bham.ac.uk/~wbl/aigp3/ch03.pdf",
  language =     "en",
  oai =          "oai:CiteSeerXPSU:10.1.1.141.1764",
  URL =          "http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.141.1764",
  abstract =     "Surface reconstruction is a hard problem in the
                 industrial core domain of computer-aided design (CAD)
                 applications. 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 digitising 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 along with empiric results is presented which
                 yields logical and efficient representations. This
                 principle is implemented as a
                 Genetic-Programming/Evolution-Strategy-based software
                 system.",
  notes =        "AiGP3",
}

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

Citations