Surface Reconstruction from 3D Point Data with a Genetic Programming/Evolution Strategy hybrid
Created by W.Langdon from
gp-bibliography.bib Revision:1.8081
- @TechReport{Keller:1998:ci44,
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author = "Robert E. Keller and Wolfgang Banzhaf and
Jorn Mehnen and Klaus Weinert",
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title = "Surface Reconstruction from {3D} Point Data with a
Genetic Programming/Evolution Strategy hybrid",
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institution = "Computer Science, Universitaet Dortmund",
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year = "1998",
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number = "CI-44/98",
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address = "Germany",
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month = sep,
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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",
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URL = "http://hdl.handle.net/2003/5358",
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URL = "https://eldorado.tu-dortmund.de/bitstream/2003/5358/1/ci44.pdf",
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size = "11 pages",
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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