• DocumentCode
    1342179
  • Title

    Geometric Calibration of IR Camera Using Trinocular Vision

  • Author

    Yang, Rongqian ; Yang, Wei ; Chen, Yazhu ; Wu, Xiaoming

  • Author_Institution
    Dept. of Biomed. Eng., South China Univ. of Technol., Guangzhou, China
  • Volume
    29
  • Issue
    24
  • fYear
    2011
  • Firstpage
    3797
  • Lastpage
    3803
  • Abstract
    A three-dimensional (3-D) thermogram can provide spatial information; however, it is rarely applied because it lacks an accurate method in obtaining the intrinsic and extrinsic parameters of an infrared (IR) camera. Conventional methods cannot be used for such calibration because an IR camera cannot capture visible calibration patterns. Therefore, in the current study, a trinocular vision system composed of two visible cameras and an IR camera is constructed and a calibration board with miniature bulbs is designed. The two visible cameras compose a binocular vision system that obtains 3-D information from the miniature bulbs while the IR camera captures the calibration board to obtain the two dimensional subpixel coordinates of miniature bulbs. The corresponding algorithm is proposed to calibrate the IR camera based on the gathered information. Experimental results show that the proposed calibration can accurately obtain the intrinsic and extrinsic parameters of the IR camera, and meet the requirements of its application.
  • Keywords
    calibration; cameras; infrared imaging; extrinsic parameters; geometric calibration; intrinsic parameters; spatial information; thermogram; trinocular vision; Calibration; Cameras; Infrared imaging; Lenses; Machine vision; Three dimensional displays; Geometric calibration; infrared camera; subpixel extraction; trinocular vision;
  • fLanguage
    English
  • Journal_Title
    Lightwave Technology, Journal of
  • Publisher
    ieee
  • ISSN
    0733-8724
  • Type

    jour

  • DOI
    10.1109/JLT.2011.2170812
  • Filename
    6035942