Frank C Langbein
Ex Tenebris Scientia
Contents

F. C. Langbein, A. D. Marshall, R. R. Martin.

Computer-Aided Design, 36(3):261-278, 2004.
ISSN 00104485.

[DOI: 10.1016/S0010-4485(03)00108-8] [Preprint] [CiteSeer]

Boundary representation models reconstructed from 3D range data suffer from various inaccuracies caused by noise in the data and the model building software. Such models can be improved in a beautification step, which finds geometric regularities approximately present in the model and imposes a consistent subset of them on the model. Methods to select regularities consistently such that they are likely to represent the original, ideal design intent are presented. Efficiency during selection is achieved by considering degrees of freedom to analyse the solvability of constraint systems representing the regularities (without actually solving them). Priorities are used to select regularities in case of inconsistencies. The selected set of constraints is solved numerically and an improved model is rebuilt from the solution. Experiments show that the presented methods can beautify models by selecting consistent regularities and enforcing major intended regularities. 

@ARTICLE{Langbein2004,
  author =       {Frank C. Langbein and A. Dave Marshall and Ralph R.
                  Martin},
  title =        {Choosing Consistent Constraints for Beautification
                  of Reverse Engineered Geometric Models},
  journal =      {Computer-Aided Design},
  year =         2004,
  volume =       36,
  pages =        {261-278},
  number =       3,
  month =        {March},
  issn =         00104485,
  doi =          {10.1016/S0010-4485(03)00108-8},
  url =          {http://www.langbein.org/research/solids/borg/langbein2004/},
  abstract =     {Boundary representation models reconstructed from 3D
                  range data suffer from various inaccuracies caused
                  by noise in the data and the model building
                  software. Such models can be improved in a
                  beautification step, which finds geometric
                  regularities approximately present in the model and
                  imposes a consistent subset of them on the model.
                  Methods to select regularities consistently such
                  that they are likely to represent the original,
                  ideal design intent are presented. Efficiency during
                  selection is achieved by considering degrees of
                  freedom to analyse the solvability of constraint
                  systems representing the regularities (without
                  actually solving them). Priorities are used to
                  select regularities in case of inconsistencies. The
                  selected set of constraints is solved numerically
                  and an improved model is rebuilt from the solution.
                  Experiments show that the presented methods can
                  beautify models by selecting consistent regularities
                  and enforcing major intended regularities.},
}
Cite as Choosing Consistent Constraints for Beautification of Reverse Engineered Geometric Models, http://www.langbein.org/research/solids/borg/langbein2004 by Frank C Langbein [ 6/December/2008, 19:14].
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