• DocumentCode
    170457
  • Title

    Paralleled mesh refinement for surface reconstruction

  • Author

    Lirong Wang ; Xiaoli Wang ; Lei Yang

  • Author_Institution
    Sch. of Electron. & Inf. Eng., Suzhou Univ., Suzhou, China
  • fYear
    2014
  • fDate
    16-18 May 2014
  • Firstpage
    303
  • Lastpage
    306
  • Abstract
    One method was proposed for mesh refinement in surface reconstruction which can be considered as a critical problem to monocular reconstruction. The main idea of the method is the implementation can be applicable and efficient by parallelization. It is un-necessary to conform photo-consistent constrain, alternatively, time-consistency is introduced in by a view-dependent way. The experimental result shows that the time-consumption can be controlled on common hardware since the energy minimization algorithm can be highly paralleled implementation based on GPU-acceleration.
  • Keywords
    graphics processing units; image reconstruction; mesh generation; minimisation; GPU-acceleration; energy minimization algorithm; monocular reconstruction; paralleled mesh refinement; parallelization; surface reconstruction; Computer vision; Educational institutions; Graphics processing units; Image reconstruction; Minimization; Rendering (computer graphics); Surface reconstruction; GPU-acceleration; energy minimization; monocular reconstruction; surface reconstruction;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Progress in Informatics and Computing (PIC), 2014 International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4799-2033-4
  • Type

    conf

  • DOI
    10.1109/PIC.2014.6972346
  • Filename
    6972346