• DocumentCode
    2140401
  • Title

    Improvement of visual fatigue based on vertical parallax elimination

  • Author

    Zhou Bailing ; Zhao Yan ; Wang Jingyuan ; Chen Hexin

  • Author_Institution
    Coll. of Commun. Eng., Jilin Univ., Changchun, China
  • fYear
    2013
  • fDate
    23-25 July 2013
  • Firstpage
    1365
  • Lastpage
    1369
  • Abstract
    Visual fatigue is gaining widespread attention with the booming development of 3D stereoscopic video technology. Vertical parallax is one of the reasons which can cause visual fatigue. A method for vertical parallax elimination without camera parameters was proposed in this paper. First, distinctive invariant feature points were extracted in 3D geometric space. Next, three-dimensional projective transformation matrix H was calculated by the feature points. Last, matrix H was applied to one of the two views. Experimental results show that the vertical parallax is greatly reduced by using the proposed method. Furthermore, when comparing with the method of two-dimensional projective transformation, our algorithm performs better.
  • Keywords
    feature extraction; matrix algebra; stereo image processing; video signal processing; 2D projective transformation; 3D geometric space; 3D projective transformation matrix; 3D stereoscopic video technology; distinctive invariant feature points; vertical parallax elimination; visual fatigue; Cameras; Fatigue; Feature extraction; Stereo image processing; Three-dimensional displays; Visualization; depth information; three-dimensional projective transformation; vertical parallax elimination; visual fatigure;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Natural Computation (ICNC), 2013 Ninth International Conference on
  • Conference_Location
    Shenyang
  • Type

    conf

  • DOI
    10.1109/ICNC.2013.6818192
  • Filename
    6818192