• DocumentCode
    3458006
  • Title

    Approximate congruence detection of model features for reverse engineering

  • Author

    Gao, C.H. ; Langbein, F.C. ; Marshall, A.D. ; Martin, R.R.

  • Author_Institution
    Dept. of Comput. Sci., Cardiff Univ., UK
  • fYear
    2003
  • fDate
    12-15 May 2003
  • Firstpage
    69
  • Lastpage
    77
  • Abstract
    Reverse engineering allows the geometric reconstruction of simple mechanical parts. However, the resulting models suffer from inaccuracies caused by errors in measurement and reconstruction so such models do not have the exact congruence, symmetries and other regularities the original designer intended. We wish to impose such regularities in a beautification process. The paper discusses the particular problem of detecting approximate congruence between parts (e.g. a pair of handles) of a reconstructed B-rep model, so that a subsequent step can enforce them exactly. A practical detection algorithm is given for models defined using planes, spheres, cylinders, cones and tori. Analysis of the algorithm and experimental results show that expected congruence are detected reasonably quickly.
  • Keywords
    computational geometry; feature extraction; image reconstruction; mechanical engineering computing; reverse engineering; solid modelling; approximate congruence detection; beautification; cone; cylinder; detection algorithm; geometric modeling; geometric modelling; geometric reconstruction; handle pair; measurement error; model congruence; model feature; model regularity; model symmetry; plane; reconstructed B-rep model; reconstruction error; reverse engineering; sphere; tori; Algorithm design and analysis; Computer errors; Computer science; Computer vision; Detection algorithms; Engine cylinders; Object detection; Reverse engineering; Shape measurement; Solid modeling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Shape Modeling International, 2003
  • Print_ISBN
    0-7695-1909-1
  • Type

    conf

  • DOI
    10.1109/SMI.2003.1199603
  • Filename
    1199603