• DocumentCode
    3540767
  • Title

    Machine vision based 3D scanning system

  • Author

    Ho, Chaoching

  • Author_Institution
    Dept. of Mech. Eng., Nat. Yunlin Univ. of Sci. & Technol., Douliou, Taiwan
  • fYear
    2009
  • fDate
    16-19 Aug. 2009
  • Abstract
    This study presents a low-cost scanning system for acquiring 3D geometry and texture information of large objects and for performing multi-scanning patch registration to obtain a whole realistic 3D model. The proposed system is composed of a line-stripe laser and a color CCD camera. The scanning processes consist of three steps. In the first step, the 3D depth information of the scanned object is obtained by laser triangulation. Subsequently, the texture of the scanned object is obtained by using a color CCD camera. In the final step, multiple scan patches are registered together to merge into a complete vivid 3D model. This study presents standard off-the-shelf hardware and software framework to implement a 3D measuring system. Experiments on the proposed method yielded very good results, for example, we constructed a big fortune cat model from the sixteen multi-scanned patches.
  • Keywords
    CCD image sensors; computer vision; image registration; image texture; object recognition; optical scanners; realistic images; 3D depth information; 3D geometry; 3D measuring system; 3D scanning system; big fortune cat model; color CCD camera; laser triangulation; line-stripe laser; machine vision; multiscanning patch registration; realistic 3D model; scanned object texture; texture information; Charge coupled devices; Charge-coupled image sensors; Geometrical optics; Hardware; Information geometry; Laser modes; Machine vision; Measurement standards; Software standards; Solid modeling; 3D measurement; 3D model construction; 3D scan registration;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electronic Measurement & Instruments, 2009. ICEMI '09. 9th International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-3863-1
  • Electronic_ISBN
    978-1-4244-3864-8
  • Type

    conf

  • DOI
    10.1109/ICEMI.2009.5274045
  • Filename
    5274045