• DocumentCode
    2211592
  • Title

    Improved edge detection for EWOC depth upscaling

  • Author

    Schwarz, Sebastian ; Sjöström, Mårten ; Olsson, Roger

  • Author_Institution
    Dept. of Inf. Technol. & Media, Mid Sweden Univ., Sundsvall, Sweden
  • fYear
    2012
  • fDate
    11-13 April 2012
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    The need for accurate depth information in three-dimensional television (3DTV) encourages the use of range sensors, i.e. time-of-flight (ToF) cameras. Since these sensors provide only limited spatial resolution compared to modern high resolution image sensors, upscaling methods are much needed. Typical depth upscaling algorithms fuse low resolution depth information with appropriate high resolution texture frames, taking advantage of the additional texture information in the upscaling process. We recently introduced a promising upscaling method, utilizing edge information from the texture frame to upscale low resolution depth maps. This paper examines how a more thorough edge detection can be achieved by investigating different edge detection sources, such as intensity, color spaces and difference signals. Our findings show that a combination of sources based on the perceptual qualities of the human visual system (HVS) leads to slightly improved results. On the other hand these improvements imply a more complex edge detection.
  • Keywords
    edge detection; high definition television; sensor fusion; three-dimensional television; EWOC; depth upscaling; edge detection; high resolution texture frames; human visual system; low resolution depth information; perceptual qualities; range sensors; spatial resolution; three-dimensional television; Cameras; Detectors; Image color analysis; Image edge detection; Spatial resolution; 3DTV; CIE2000; EWOC; HVS; ToF; depth map; perceptual edge detection; upscaling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Signals and Image Processing (IWSSIP), 2012 19th International Conference on
  • Conference_Location
    Vienna
  • ISSN
    2157-8672
  • Print_ISBN
    978-1-4577-2191-5
  • Type

    conf

  • Filename
    6208107