• DocumentCode
    3278316
  • Title

    Depth enhancement based on hybrid geometric hole filling strategy

  • Author

    Lu Sheng ; King Ngi Ngan

  • Author_Institution
    Dept. of Electron. Eng., Chinese Univ. of Hong Kong, Hong Kong, China
  • fYear
    2013
  • fDate
    15-18 Sept. 2013
  • Firstpage
    2173
  • Lastpage
    2176
  • Abstract
    Depth map is a crucial component in various 3D applications. However, current available depth maps usually suffer from low resolution, high noise, random and structural depth missing problems due to theoretical, systematic or hardware limitations. In this paper, we propose a novel method to enhance depth map with the guidance of aligned color image, tackling these problems in a whole framework, where a hybrid strategy on filling hole geometrically by the combination of joint bilateral filtering and segment-based surface structure propagation is introduced. Our experimental results prove the proposed method outperforms existing methods.
  • Keywords
    filtering theory; geometry; image colour analysis; image enhancement; color image; depth map enhancement; hybrid geometric hole filling strategy; hybrid strategy; joint bilateral filtering; random depth missing problems; segment-based surface structure propagation; structural depth missing problems; Depth map; depth enhancement; filtering; hole filling; segmentation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing (ICIP), 2013 20th IEEE International Conference on
  • Conference_Location
    Melbourne, VIC
  • Type

    conf

  • DOI
    10.1109/ICIP.2013.6738448
  • Filename
    6738448