• DocumentCode
    1013846
  • Title

    CAD-driven machine vision

  • Author

    Hoffman, Richard ; Keshavan, H.R. ; Towfiq, Farhad

  • Author_Institution
    Northrop Res. & Technol. Center, Palos Verdes Peninsula, CA, USA
  • Volume
    19
  • Issue
    6
  • fYear
    1989
  • Firstpage
    1477
  • Lastpage
    1488
  • Abstract
    The authors present two experiments in CAD-driven object identification based on two types of sensor data: intensity images and range images. Both approaches perform object recognition with no special manual training or runtime user interaction. Although both approaches were tested only on single-object images, the intensity image approach may be applicable to multiple-object views
  • Keywords
    CAD/CAM; computer vision; computerised pattern recognition; computerised picture processing; CAD-driven machine vision; CAD/CAM; computer vision; computerised picture processing; intensity images; multiple-object views; object identification; object recognition; pattern recognition; range images; single-object images; Design automation; Feature extraction; Image sensors; Inspection; Machine vision; Manufacturing; Object recognition; Robot kinematics; Robot sensing systems; Robot vision systems;
  • fLanguage
    English
  • Journal_Title
    Systems, Man and Cybernetics, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9472
  • Type

    jour

  • DOI
    10.1109/21.44066
  • Filename
    44066
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1013846