• DocumentCode
    3466886
  • Title

    Depth Interpolation via Smooth Surface Segmentation Using Tangent Planes Based on the Superpixels of a Color Image

  • Author

    Matsuo, Kenshi ; Aoki, Yuya

  • Author_Institution
    Dept. of Integrated Design Eng., Keio Univ., Yokohama, Japan
  • fYear
    2013
  • fDate
    2-8 Dec. 2013
  • Firstpage
    29
  • Lastpage
    36
  • Abstract
    This paper describes a method for accurately interpolating a low-resolution depth image using a high-resolution color image. In our method, first, tangent planes on each super pixel are estimated from the sparse depth information and dense color information. Then, the neighboring super pixels that have smooth-connectable tangent planes are connected, and the image segmentation to smooth surfaces are achieved. Finally, the low-resolution depth image is interpolated using this smooth surface segmentation. In experiments with images from the Middlebury stereo datasets, our method interpolates each image at a high rate, and achieves the lowest error when compared to existing techniques.
  • Keywords
    image colour analysis; image resolution; image segmentation; interpolation; Middlebury stereo datasets; dense color information; depth interpolation; high resolution color image; image segmentation; low resolution depth image; smooth connectable tangent planes; smooth surface segmentation; sparse depth information; superpixels; Color; Image color analysis; Image segmentation; Interpolation; Shape; Surface treatment; Vectors; Depth image interpolation; Image segmentation; Superpixel;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision Workshops (ICCVW), 2013 IEEE International Conference on
  • Conference_Location
    Sydney, NSW
  • Type

    conf

  • DOI
    10.1109/ICCVW.2013.11
  • Filename
    6755876