• DocumentCode
    1710435
  • Title

    Light weight multiview capturing

  • Author

    Shim, Hyunjung ; Tsuhan Chen ; Lee, Seungkyu ; Kim, Changyeong ; ChangYeong Kim

  • Author_Institution
    SAIT, Samsung Electron., Yongin, South Korea
  • fYear
    2012
  • Firstpage
    25
  • Lastpage
    29
  • Abstract
    The framework of capturing multiview images has received a great attention from industry as well as academy due to its usability in various applications; 3D scene reconstruction, super-resolution, scene understanding, surveillance etc. This paper presents a multiview capturing system that uses a single camera with multiple mirrors. We place multiple mirrors pointing to the target scene and record an image of those mirrors. From this image of mirrors, we can extract the multiview images of the target scene, images reflected by mirrors. Based on the proposed method, we achieve some success in geometry reconstruction and view synthesis using multiview images, which shows the usability of the proposed work. The main contribution of this work is to introduce a light weight implementation for multiview capturing with a number of useful properties; the automatic synchronization across multiple views, the consistent color/white balance setting across multiple views, the capability of recording a wide range of view and the cost-effective implementation.
  • Keywords
    feature extraction; image colour analysis; image reconstruction; automatic synchronization; color-white balance setting; geometry reconstruction; image extraction; light weight multiview capturing; multiview image capturing; view synthesis; Calibration; Cameras; Geometry; Image reconstruction; Mirrors; Rendering (computer graphics); Three dimensional displays;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Consumer Communications and Networking Conference (CCNC), 2012 IEEE
  • Conference_Location
    Las Vegas, NV
  • Print_ISBN
    978-1-4577-2070-3
  • Type

    conf

  • DOI
    10.1109/CCNC.2012.6181057
  • Filename
    6181057