• DocumentCode
    568309
  • Title

    Projective rectification of infrared image based on projective geometry

  • Author

    Xiaolu Li ; Tao He ; Lijun Xu ; Lulu Chen ; Zhanshe Guo

  • Author_Institution
    Sch. of Instrum. & Opto-Electron. Eng., Beihang Univ., Beijing, China
  • fYear
    2012
  • fDate
    16-17 July 2012
  • Firstpage
    356
  • Lastpage
    360
  • Abstract
    Projective distortion caused by tilted camera brings great inconvenience to subsequent image processing and pattern recognition. In this paper, a method based on projective geometry is introduced to correct the projective distortion of infrared images. The dual conic in distortion image, which contains all the information of projective rectification, is identified firstly, and then the projective transformation matrix is derived by decomposing the dual conic. Finally, optimization is carried out to get the optimal result. Experimental results show that the method used in this paper can remove the projective distortion of infrared image effectively.
  • Keywords
    image enhancement; image sensors; infrared imaging; optical distortion; dual conic; image distortion; image processing; infrared image; optimization; pattern recognition; projective distortion; projective geometry; projective rectification; projective transformation matrix; tilted camera; Argon; Computers; Helium; LM algorithm; Radon transform; projective distortion; projective transformation matrix; the dual conic;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Imaging Systems and Techniques (IST), 2012 IEEE International Conference on
  • Conference_Location
    Manchester
  • Print_ISBN
    978-1-4577-1776-5
  • Type

    conf

  • DOI
    10.1109/IST.2012.6295549
  • Filename
    6295549