• DocumentCode
    2170120
  • Title

    Applying 2D projective transformations for structured light system-based selective data acquisition

  • Author

    Rianmora, Suchada ; Koomsap, Pisut

  • Author_Institution
    Ind. & Manuf. Eng., Asian Inst. of Technol., Pathumthani, Thailand
  • Volume
    1
  • fYear
    2010
  • fDate
    26-28 Feb. 2010
  • Firstpage
    62
  • Lastpage
    65
  • Abstract
    The concept of structured light system has been applied to recommend scanning positions in selective data acquisition process. The complexity is analyzed from the edge images of a single horizontal line of bright light that is projected locally onto the surface on different side views. Each analysis leads to a recommendation for either scanning position or projecting a new line position. However, an inherent error from mapping 3D object onto 2D image may have negative influence on the decision making. This paper, therefore, presents an attempt to deduce 3D geometric information from edge image by applying 2D projective transformations. On each different side views, the two consecutive projected lines on the horizontal plane are used to analyze the layer´s complexity.
  • Keywords
    data acquisition; edge detection; 2D image; 2D projective transformation; 3D geometric information; 3D object mapping; bright light; decision making; edge image; line position projection; scanning position; selective data acquisition; single horizontal line; structured light system; Clouds; Data acquisition; Data engineering; Decision making; Image analysis; Laser sintering; Manufacturing industries; Manufacturing processes; Prototypes; Reverse engineering; 2D projective transformations; edge images; reverse engineering; selective data acquisition; structured light system;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer and Automation Engineering (ICCAE), 2010 The 2nd International Conference on
  • Conference_Location
    Singapore
  • Print_ISBN
    978-1-4244-5585-0
  • Electronic_ISBN
    978-1-4244-5586-7
  • Type

    conf

  • DOI
    10.1109/ICCAE.2010.5452001
  • Filename
    5452001