• DocumentCode
    2039174
  • Title

    Depth map extraction based on geometry

  • Author

    Zhao, Difan ; Ren, Yannan ; Sun, Jiande ; Liu, Wei ; Liu, Ju

  • Author_Institution
    Sch. of Inf. Sci. & Eng., Shandong Univ., Jinan, China
  • fYear
    2012
  • fDate
    15-18 March 2012
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    This paper presents a novel depth map generation method based on geometric information. Our method divides a 2d image into two parts-the foreground and the background. Through extracting the predominant lines and vanishing point of the background, the background depth map is determined. Then we use this depth map as a `scalar´ to measure the depth value of the foreground object. Finally, the depth map of the foreground and the background are integrated into one depth map by a depth fusion algorithm.
  • Keywords
    geometry; image fusion; 2D image; depth fusion algorithm; depth map extraction; geometric information; geometry; predominant lines; Data mining; Educational institutions; Geometry; Heuristic algorithms; Image edge detection; Legged locomotion; Three dimensional displays; 2D to 3D; Dept; Geometry;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Southeastcon, 2012 Proceedings of IEEE
  • Conference_Location
    Orlando, FL
  • ISSN
    1091-0050
  • Print_ISBN
    978-1-4673-1374-2
  • Type

    conf

  • DOI
    10.1109/SECon.2012.6197062
  • Filename
    6197062