• DocumentCode
    1733428
  • Title

    Neural network-based adaptive sampling of 3D object surface elastic properties

  • Author

    Cretu, Ana-Maria ; Petriu, Emil M. ; Patry, Gilles G.

  • Author_Institution
    Sch. of Inf. Technol. & Eng., Ottawa Univ., Ont., Canada
  • Volume
    1
  • fYear
    2004
  • Firstpage
    285
  • Abstract
    The paper discusses two self-organizing neural network (NN) architectures, the neural gas network and the Kohonen self-organizing map (SOM) for the adaptive sampling and the reduction of the dimensionality of the set of probing points in the measurement of the nonuniform elastic properties of 3D objects.
  • Keywords
    data reduction; dexterous manipulators; elasticity; image sampling; self-organising feature maps; shape measurement; stereo image processing; 3D object surface elastic properties; Kohonen self-organizing map; dimensionality reduction; neural gas network; neural network-based adaptive sampling; nonuniform elastic property measurement; probing points; self-organizing neural network architectures; Adaptive systems; Computer aided manufacturing; Elasticity; Neural networks; Organizing; Probes; Robot kinematics; Sampling methods; Shape; Solid modeling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Instrumentation and Measurement Technology Conference, 2004. IMTC 04. Proceedings of the 21st IEEE
  • ISSN
    1091-5281
  • Print_ISBN
    0-7803-8248-X
  • Type

    conf

  • DOI
    10.1109/IMTC.2004.1351046
  • Filename
    1351046
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1733428