• DocumentCode
    3138394
  • Title

    A 3D vision system for high resolution surface reconstruction

  • Author

    Marani, Roberto ; Roselli, Giuseppe ; Nitti, Michele ; Cicirelli, Grazia ; D´Orazio, Tiziana ; Stella, Ettore

  • Author_Institution
    Inst. of Intell. Syst. for Autom. (ISSIA), Bari, Italy
  • fYear
    2013
  • fDate
    3-5 Dec. 2013
  • Firstpage
    157
  • Lastpage
    162
  • Abstract
    In this paper a fast and innovative three-dimensional vision system, having high resolution in the surface reconstruction, is discussed. It is based on a triangulation 3D laser scanner with a linear beam shape. The high precision (few microns) is guaranteed by very small laser line width, small camera pixel-size and proper optical properties of the Telecentric Lens. The entire system has been tested on two kinds of sample objects such as a 20 €cent coin and a set of precision drilling tools. The main purpose of this work is the detection and reconstruction of the 3D surface of tiny objects and the measurement of their surface defects with high accuracy. Furthermore the occlusion problem is faced and solved by properly handling the camera-laser setup. Experimental tests prove the high precision of the system that can reach a resolution of 15 μm.
  • Keywords
    automatic optical inspection; flaw detection; image reconstruction; image sensors; optical scanners; 3D vision system; Telecentric Lens; high resolution surface reconstruction; laser line width; linear beam shape; occlusion problem; optical properties; small camera pixel-size; surface defect measurement; triangulation 3D laser scanner; Conferences; Sensors; 3D laser triangulation scanners; High resolution 3D surface reconstruction; Quality control; Surface defects; visual occlusion recovery;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Sensing Technology (ICST), 2013 Seventh International Conference on
  • Conference_Location
    Wellington
  • ISSN
    2156-8065
  • Print_ISBN
    978-1-4673-5220-8
  • Type

    conf

  • DOI
    10.1109/ICSensT.2013.6727634
  • Filename
    6727634