CAD Surface Reconstruction from Digitized 3D Point Data with a Genetic Programming/Evolution Strategy hybrid
Created by W.Langdon from
gp-bibliography.bib Revision:1.7964
- @InCollection{keller:1999:aigp3,
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author = "Robert E. Keller and Wolfgang Banzhaf and
Jorn Mehnen and Klaus Weinert",
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title = "CAD Surface Reconstruction from Digitized {3D} Point
Data with a Genetic Programming/Evolution Strategy
hybrid",
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booktitle = "Advances in Genetic Programming 3",
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publisher = "MIT Press",
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year = "1999",
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editor = "Lee Spector and William B. Langdon and
Una-May O'Reilly and Peter J. Angeline",
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chapter = "3",
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pages = "41--65",
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address = "Cambridge, MA, USA",
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month = jun,
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keywords = "genetic algorithms, genetic programming",
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ISBN = "0-262-19423-6",
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URL = "http://www.cs.ucl.ac.uk/staff/W.Langdon/aigp3/ch03.pdf",
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language = "en",
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oai = "oai:CiteSeerXPSU:10.1.1.141.1764",
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URL = "http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.141.1764",
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DOI = "doi:10.7551/mitpress/1110.003.0006",
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size = "24 pages",
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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.",
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notes = "AiGP3 See http://cognet.mit.edu",
- }
Genetic Programming entries for
Robert E Keller
Wolfgang Banzhaf
Jorn Mehnen
Klaus Weinert
Citations