• DocumentCode
    1625561
  • Title

    Texture-orientation based vanishing point detection using genetic algorithm

  • Author

    Barat, Marius ; Saryazdi, Saeid ; Morsali, Alireza ; Nezamabadi-pour, Hossein

  • Author_Institution
    Dept. of Electr. Eng., ShahidBahonar Univ., Kerman, Iran
  • fYear
    2012
  • Firstpage
    806
  • Lastpage
    810
  • Abstract
    Perspective effects in an image make parallel lines converge to a point, termed a vanishing point, in the infinity. Finding vanishing points is playing an important role in 3D perception and analysis of 2D images. One of the most efficient methods to detect these points is texture-orientation based method. The main drawback of this method is high computational time and complexity. In this paper we propose to use a Genetic Algorithm to reduce time and complexity in texture-orientation based vanishing point detection. The experimental results show the efficacy of the proposed method.
  • Keywords
    genetic algorithms; image texture; object detection; 2D images analysis; 3D perception; genetic algorithm; perspective effects; texture-orientation; vanishing point detection; Biological cells; Complexity theory; Gabor filters; Genetic algorithms; Signal processing algorithms; Sociology; Statistics; Vanishing point detection; genetic algorithm; texture orientation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Telecommunications (IST), 2012 Sixth International Symposium on
  • Conference_Location
    Tehran
  • Print_ISBN
    978-1-4673-2072-6
  • Type

    conf

  • DOI
    10.1109/ISTEL.2012.6483096
  • Filename
    6483096