• DocumentCode
    3036984
  • Title

    The Application of Fringe Projection Concept for Selective Data Acquisition

  • Author

    Rianmora, Suchada ; Koomsap, Pisut

  • Author_Institution
    Ind. & Manuf. Eng., Asian Inst. of Technol., Pathumthani
  • fYear
    2009
  • fDate
    8-10 March 2009
  • Firstpage
    131
  • Lastpage
    134
  • Abstract
    Selective data acquisition has been researched recently as an alternative for direct interface reverse engineering (RE) with rapid prototyping (RP). Rather than performing data reduction after capturing data of an entire object, data are acquired selectively and locally layer by layer according to the analysis from the image of the object. The result of each scan is contour data points, which can be directly used to generate commands for fabricating a prototype. The concept of fringe projection is presented in this paper as a tool for recommending scanning position in selective data acquisition. A single band of bright light is projected horizontally onto the object and the image of the projected band is captured and analyzed instead of the image of the object. The study shows promising results that encourage further investigation such that adaptive reverse engineering system for direct interface with rapid prototyping (RP) can be improved.
  • Keywords
    data acquisition; rapid prototyping (industrial); reverse engineering; adaptive reverse engineering system; contour data points; data reduction; direct interface reverse engineering; fringe projection concept; rapid prototyping; selective data acquisition; Clouds; Computer aided manufacturing; Data acquisition; Data engineering; Design automation; Design engineering; Image analysis; Prototypes; Reverse engineering; Surface reconstruction; Adaptive Reverse Engineering (ARE); Fringe projection; Rapid Prototyping (RP);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer and Automation Engineering, 2009. ICCAE '09. International Conference on
  • Conference_Location
    Bangkok
  • Print_ISBN
    978-0-7695-3569-2
  • Type

    conf

  • DOI
    10.1109/ICCAE.2009.58
  • Filename
    4804503