• DocumentCode
    1730544
  • Title

    Depth image improvement for 3D applications

  • Author

    Ahn, Yangkeun ; Hong, Jiman

  • Author_Institution
    Sch. of Comput., Soongsil Univ., Seoul, South Korea
  • Volume
    1
  • fYear
    2011
  • Firstpage
    218
  • Lastpage
    222
  • Abstract
    This paper uses the area-based canny edge detector to keep the boundaries intact while applying the boundary-based depth image improvement technique to the flat areas. The proposed method will provide a better sense of depth by addressing image quality deterioration, which may take place in acquiring depth images in a limited environment, through post-or pre-treatment. We expect such improvement in depth images to be applied to various 3D applications, such as depth-based 3D body gesture recognition/interaction, depth-based image rendering (DBIR), 3D TV.
  • Keywords
    edge detection; median filters; 3D TV; 3D applications; DBIR; adaptive median filter; area-based canny edge detector; boundary-based depth image improvement technique; depth-based 3D body gesture recognition; depth-based image rendering; image quality deterioration; Image edge detection; Image resolution; TV; Three dimensional displays; Depth Image; Edge Detector; Image Quality Evaluation; Median Filter;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Network Technology (ICCSNT), 2011 International Conference on
  • Conference_Location
    Harbin
  • Print_ISBN
    978-1-4577-1586-0
  • Type

    conf

  • DOI
    10.1109/ICCSNT.2011.6181944
  • Filename
    6181944