• DocumentCode
    666387
  • Title

    A laser scanning based reverse engineering system for 3D model generation

  • Author

    Javed, Muhammad A. ; Won, Seong-hoon Peter ; Khamesee, Mir Behrad ; Melek, William W. ; Owen, William

  • Author_Institution
    Mech. & Mechatron. Eng. Dept., Univ. of Waterloo, Waterloo, ON, Canada
  • fYear
    2013
  • fDate
    10-13 Nov. 2013
  • Firstpage
    4334
  • Lastpage
    4339
  • Abstract
    This paper presents a laser scanner based reverse engineering (RE) system that generates accurate 3D solid models of bottles. The proposed system is designed for ease of use and has an open architecture, making it an ideal solution for bottle conveying system manufacturers. Conveyor system manufactures need a versatile RE system that can create 3D models of bottles to develop conveyor systems for their clients. This paper also presents a simple, robust filtering technique that can effectively remove the noise from the scanned laser data, yet retaining the shape of the scanned bottle. An error analysis is performed to compare our technique against another common data filtering technique, and sample 3D models are generated to contrast the effects of the different filtering approaches.
  • Keywords
    bottles; optical scanners; production engineering computing; reverse engineering; solid modelling; 3D model generation; 3D solid models; RE; bottle conveying system manufacturers; error analysis; laser scanning based reverse engineering system; robust filtering technique; sample 3D models; scanned bottle; Data models; Filtering; Filtering algorithms; Laser modes; Laser noise; Solid modeling; Three-dimensional displays; Kalman filters; manufacturing automation; reverse engineering; smoothing technique; state estimation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Electronics Society, IECON 2013 - 39th Annual Conference of the IEEE
  • Conference_Location
    Vienna
  • ISSN
    1553-572X
  • Type

    conf

  • DOI
    10.1109/IECON.2013.6699832
  • Filename
    6699832