• DocumentCode
    3405760
  • Title

    Split and merge approach for detecting multiple planes in a depth image

  • Author

    Seon-Min Rhee ; Yong-Beom Lee ; Kim, J.D.K. ; Taehyun Rhee

  • Author_Institution
    Samsung Adv. Inst. of Technol. (SAIT), South Korea
  • fYear
    2012
  • fDate
    Sept. 30 2012-Oct. 3 2012
  • Firstpage
    1213
  • Lastpage
    1216
  • Abstract
    We propose a novel method for detecting multiple planar structures in a scene from a depth image, and estimating their parametric models in real time. To realize this goal we split an entire depth image into small patches. Initially, we assume that all patches are on the planar structure and estimate their parametric models using least square fitting. We select patches where our assumption is valid and the selected planar patches are iteratively merged and refined in case that they are in the same planar structure. The qualitative and quantitative experiments shows that the proposed method has clear benefits in terms of accuracy and processing time.
  • Keywords
    curve fitting; image processing; iterative methods; least squares approximations; natural scenes; depth image scene; image iterative merging approach; image spliting approach; least square fitting; multiple planar structure detection; parametric model estimation; planar patch selection; qualitative analysis; quantitative analysis; Accuracy; Computational modeling; Estimation; Least squares approximation; Noise; Real-time systems; Robot sensing systems; model estimation; plane detection; scene understanding;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing (ICIP), 2012 19th IEEE International Conference on
  • Conference_Location
    Orlando, FL
  • ISSN
    1522-4880
  • Print_ISBN
    978-1-4673-2534-9
  • Electronic_ISBN
    1522-4880
  • Type

    conf

  • DOI
    10.1109/ICIP.2012.6467084
  • Filename
    6467084