• DocumentCode
    249135
  • Title

    Depth enhancement using RGB-D guided filtering

  • Author

    Tak-Wai Hui ; King Ngi Ngan

  • Author_Institution
    Dept. of Electron. Eng., Chinese Univ. of Hong Kong, Hong Kong, China
  • fYear
    2014
  • fDate
    27-30 Oct. 2014
  • Firstpage
    3832
  • Lastpage
    3836
  • Abstract
    Depth maps from low-cost RGB-D system are generally noisy and not accurate enough. Holes often exist in the depth maps. Bilateral filter is commonly utilized to perform depth enhancement. However, it requires high computational time. Its texture transferring property also makes those boundaries between textured and homogeneous regions in the filtered depth map far from satisfactory. In this paper, we present a method to filter raw depth maps using a RGB-D guided filtering in a two-stage framework. Our method not only has a faster computational time than bilateral filter but also avoids the problem of over-texture transfer. We also use RGB-D frames to fill holes in the depth maps. This can effectively prevents depth bleeding artifacts.
  • Keywords
    filtering theory; image enhancement; image texture; RGB-D guided filtering; bilateral filter; depth enhancement; filtered depth map; texture transferring property; Approximation methods; Hafnium; Hemorrhaging; Image color analysis; Image edge detection; Kernel; Noise measurement; Depth enhancement; guided image filtering; hole filling; linear regression;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing (ICIP), 2014 IEEE International Conference on
  • Conference_Location
    Paris
  • Type

    conf

  • DOI
    10.1109/ICIP.2014.7025778
  • Filename
    7025778