• DocumentCode
    607399
  • Title

    A hybrid matching algorithm for depth estimation

  • Author

    Tae-Woo Kim ; Chunsoo Ahn ; Tae Min Cho ; Jitae Shin ; Hokyom Kim

  • Author_Institution
    Sch. of Inf. & Commun. Eng., Sungkyunkwan Univ., Suwon, South Korea
  • fYear
    2012
  • fDate
    3-5 Dec. 2012
  • Firstpage
    1038
  • Lastpage
    1041
  • Abstract
    Depth estimation is one of the key technologies of free-viewpoint television (FTV) system because the accuracy of depth map affects directly the synthesized video quality at intermediate viewpoint. In order to obtain accurate depth information with low complexity, a hybrid matching (HM) algorithm for depth estimation method is proposed. It is composed of pixel matching (PM) and block matching (BM) mode. By using motion information in matching mode selection, the proposed algorithm is more complied with human visual system (HVS) which is more sensitive to moving regions than the static one. Experimental results show that the proposed algorithm can not only maintain the synthesized visual quality, but also reduce considerably the execution time in matching process.
  • Keywords
    image matching; video signal processing; BM; FTV system; HM algorithm; HVS; PM; block matching mode; depth estimation method; free-viewpoint television system; human visual system; hybrid matching algorithm; matching mode selection; synthesized video quality; synthesized visual quality; block matching; depth estimation; free-viewpoint television; human visual system; hybrid matching; motion information; pixel matching;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computing and Convergence Technology (ICCCT), 2012 7th International Conference on
  • Conference_Location
    Seoul
  • Print_ISBN
    978-1-4673-0894-6
  • Type

    conf

  • Filename
    6530488