• DocumentCode
    1807873
  • Title

    Creating random structural descriptions of CAD models and determining object classes

  • Author

    Sengupta, Kuntal ; Boyer, Kim L.

  • Author_Institution
    Dept. of Electr. Eng., Ohio State Univ., Columbus, OH, USA
  • fYear
    1994
  • fDate
    8-11 Feb 1994
  • Firstpage
    38
  • Lastpage
    45
  • Abstract
    Addresses two problems related to organizing CAD models represented as random parametric structural descriptions (RPSDs). First, the authors present a method to estimate the probability information for RPSDs from CAD models. The randomness arising from viewpoint variation is captured in the random variables corresponding to the attributes of the primitives and the relationship tuples. Next, and more significantly, they present a method to subdivide a large, heterogeneous set of models into smaller, structurally homogeneous subsets based on the distribution of the eigenvalues of property matrices derived from 2½ descriptions of the CAD models. Once this is done, each sublibrary of RPSDs can be hierarchically organized
  • Keywords
    CAD; computational geometry; computer graphics; eigenvalues and eigenfunctions; graph theory; pattern recognition; CAD models; attributes; eigenvalues; object classes; primitives; property matrices; random parametric structural descriptions; random structural descriptions; relationship tuples; Clustering algorithms; Eigenvalues and eigenfunctions; Image sensors; Laboratories; Libraries; Object recognition; Polynomials; Random variables; Sensor phenomena and characterization; Signal analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    CAD-Based Vision Workshop, 1994., Proceedings of the 1994 Second
  • Conference_Location
    Champion, PA
  • Print_ISBN
    0-8186-5310-8
  • Type

    conf

  • DOI
    10.1109/CADVIS.1994.284518
  • Filename
    284518