• DocumentCode
    3282423
  • Title

    Intermediate view synthesis based on edge detecting

  • Author

    Yangang Cai ; Ronggang Wang ; Tongbing Cui ; Hao Lv ; Siwei Ma

  • Author_Institution
    Shenzhen Grad. Sch., Sch. of Electron. & Comput. Eng., Peking Univ., Shenzhen, China
  • fYear
    2013
  • fDate
    15-18 Sept. 2013
  • Firstpage
    3172
  • Lastpage
    3175
  • Abstract
    Intermediate view synthesis is a key technique for free-viewpoint video applications. Various methods have been proposed in this filed. However, most of those methods are so complex that they can´t be realized for realtime. In addition, a perfect depth image is hard to acquire for the mixtures of foreground pixels and background pixels at the object boundary. The errors in depth map would involve many holes in intermediate views when it is synthesized between the left-most view and right-most view based on depth map. How to handle the artifacts around object boundaries in intermediate view is another challenge. In this paper, we propose a simple but effective method to enhance the synthesized intermediate views based on edge detecting(SIVBE). Experiment results on typical test sequences show that the quality of intermediate view can be improved by 1.3 dB and the proposed algorithm achieves a reduction of 50% computational complexity on average.
  • Keywords
    edge detection; image sequences; video signal processing; SIVBE; background pixels; computational complexity; depth image; depth map errors; foreground pixels; free-viewpoint video applications; intermediate view quality; intermediate view synthesis; object boundary; synthesized intermediate views based on edge detecting; test sequences; 3D video; View synthesis; boundary artifact; depth map; edge detecting;
  • 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.2013.6738653
  • Filename
    6738653