• DocumentCode
    3420811
  • Title

    Viewing transform of image based on vanishing point

  • Author

    Liu, Zhongping ; Chen, Tiejun

  • Author_Institution
    Vocational Technol. Coll., Yulin Normal Univ., Yulin, China
  • fYear
    2010
  • fDate
    22-24 Oct. 2010
  • Firstpage
    180
  • Lastpage
    184
  • Abstract
    Projective geometry is an effective tool for shape transform of images in computer vision. It contains too many degrees of freedom, and the feature points must be chosen semi-automatically. In order to solve these problems, an improved algorithm of viewing transform with fixed viewpoint based on vanishing point is proposed. First, the relationship model of viewing angle and vanishing point is created. Then, the new method chooses the feature points automatically by detecting vanishing points. Finally, a shape transform based on panning and tilting is made. The test results of two types of images and comparison with other methods demonstrate the applicability and effectiveness of this algorithm.
  • Keywords
    Hough transforms; computational geometry; computer vision; feature extraction; shape recognition; visual perception; computer vision; feature point; projective geometry; shape transform; vanishing point detection; viewing angle; viewing transform; Computational modeling; Image restoration; Manganese; Three dimensional displays; Hough transform; computer vision; shape analysis; vanishing point; viewing transform;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Computing and Integrated Systems (ICISS), 2010 International Conference on
  • Conference_Location
    Guilin
  • Print_ISBN
    978-1-4244-6834-8
  • Type

    conf

  • DOI
    10.1109/ICISS.2010.5656817
  • Filename
    5656817