• DocumentCode
    1611106
  • Title

    Binocular Stereo Vision Measuring System Based on Structured Light Extraction Algorithm

  • Author

    Zhao, Lingli ; Xu, Haicheng ; Li, Junsheng ; Cai, Qun

  • Author_Institution
    Sch. of Eng., Honghe Univ., Mengzi, China
  • fYear
    2012
  • Firstpage
    644
  • Lastpage
    647
  • Abstract
    With the rapid development of computer technology and photogrammetry, the binocular 3D measurement has been widely used in many fields such as quality inspection and reverse engineering. Depending on the application, there are different requirements for 3D measurement systems. Structured light image feature extraction is an important part of the binocular measurement system to achieve three-dimensional reconstruction. So, the paper puts forward a kind of approach for edge detection and edge tracking, using the edge tracking algorithm proposed by the paper to extract structured light stripes, and the method using chain code track record of the extracted features, and something useful is obtained.
  • Keywords
    edge detection; feature extraction; image reconstruction; measurement systems; stereo image processing; binocular 3D measurement system; binocular stereo vision measuring system; chain code; edge detection; edge tracking algorithm; quality inspection; reverse engineering; structured light image feature extraction algorithm; structured light stripe extraction; three-dimensional reconstruction; Atmospheric measurements; Digital cameras; Educational institutions; Feature extraction; Image edge detection; Morphology; Particle measurements; Binocular stereo vision; Light extraction; Measuring;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Control and Electronics Engineering (ICICEE), 2012 International Conference on
  • Conference_Location
    Xi´an
  • Print_ISBN
    978-1-4673-1450-3
  • Type

    conf

  • DOI
    10.1109/ICICEE.2012.174
  • Filename
    6322463