• DocumentCode
    1799184
  • Title

    An integrated algorithm for NRSFM with RIKs

  • Author

    Yuan Fang ; Zhan-Li Sun ; Li Shang

  • Author_Institution
    Sch. of Electr. Eng. & Autom., Anhui Univ., Hefei, China
  • fYear
    2014
  • fDate
    18-20 Aug. 2014
  • Firstpage
    482
  • Lastpage
    484
  • Abstract
    In this paper, an integrated algorithm is proposed to reduce the fluctuation of the NRSFM-RIKs algorithm caused by the parameter variation. In the proposed method, a grid division is first performed on the possible interval of parameters. Then, each group of values is set as the parameter values of the NRSFM-RIKs algorithm to estimate the 3D coordinates of feature points. Finally, the estimated 3D coordinates are integrated, and used as the final estimations. The experimental results on several widely used sequences demonstrate the feasibility and effectiveness of the proposed method.
  • Keywords
    computer vision; grid computing; matrix algebra; 3D coordinates estimation; NRSFM-RIKs algorithm; computer vision; grid division; integrated algorithm; parameter variation; Computer vision; Educational institutions; Estimation; Kernel; Legged locomotion; Shape; Three-dimensional displays;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control and Information Processing (ICICIP), 2014 Fifth International Conference on
  • Conference_Location
    Dalian
  • Print_ISBN
    978-1-4799-3649-6
  • Type

    conf

  • DOI
    10.1109/ICICIP.2014.7010305
  • Filename
    7010305