• DocumentCode
    3282375
  • Title

    Direct and progressive reconstruction of dual photography images

  • Author

    Binh-Son Hua ; Sato, Imari ; Kok-Lim Low

  • Author_Institution
    Nat. Univ. of Singapore, Singapore, Singapore
  • fYear
    2013
  • fDate
    15-18 Sept. 2013
  • Firstpage
    3157
  • Lastpage
    3161
  • Abstract
    Dual photography is a well-known application of light transport acquired by a projector-camera system. By applying compressive sensing, compressive dual photography [1] is a fast approach to acquire the light transport for dual photography. However, the reconstruction step in compressive dual photography can still take several hours before dual images can be synthesized because the entire light transport needs to be reconstructed from measured data. In this paper, we present a novel reconstruction approach that can directly and progressively synthesize dual images from measured data without the need of first reconstructing the light transport. We show that our approach can produce high-quality dual images in the order of minutes using only a thousand of samples. Our approach is most useful for previewing a few dual images, e.g., during light transport acquisition. As a by-product, our method can also perform low-resolution relighting of dual images. We also hypothesize that our method is applicable to reconstructing dual images in a single projector - multiple cameras system.
  • Keywords
    cameras; compressed sensing; image reconstruction; image resolution; photography; by-product; compressive dual photography; compressive sensing; direct reconstruction; dual photography images; light transport; low-resolution relighting; measured data; multiple cameras system; progressive reconstruction; projector-camera system; single projector; compressive sensing; dual photography;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing (ICIP), 2013 20th IEEE International Conference on
  • Conference_Location
    Melbourne, VIC
  • Type

    conf

  • DOI
    10.1109/ICIP.2013.6738650
  • Filename
    6738650