• DocumentCode
    178124
  • Title

    Simultaneous HDR and Optic Flow Computation

  • Author

    Hafner, D. ; Demetz, O. ; Weickert, J.

  • Author_Institution
    Math. Image Anal. Group, Saarland Univ., Saarbrucken, Germany
  • fYear
    2014
  • fDate
    24-28 Aug. 2014
  • Firstpage
    2065
  • Lastpage
    2070
  • Abstract
    Camera shakes and moving objects pose a severe problem in the high dynamic range (HDR) reconstruction from differently exposed images. We present the first approach that simultaneously computes the aligned HDR composite as well as accurate displacement maps. In this way, we can not only cope with dynamic scenes but even precisely represent the underlying motion. We design our fully coupled model transparently in a well-founded variational framework. The proposed joint optimisation has beneficial effects, such as intrinsic ghost removal or HDR-coupled smoothing. Both the HDR images and the optic flows benefit substantially from these features and the induced mutual feedback. We demonstrate this with synthetic and real-world experiments.
  • Keywords
    cameras; feedback; image reconstruction; image sequences; smoothing methods; HDR images; HDR-coupled smoothing; camera; high dynamic range reconstruction; induced mutual feedback; optic flow computation; Adaptive optics; Cameras; Joints; Motion estimation; Optical feedback; Optical imaging; Optical saturation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition (ICPR), 2014 22nd International Conference on
  • Conference_Location
    Stockholm
  • ISSN
    1051-4651
  • Type

    conf

  • DOI
    10.1109/ICPR.2014.360
  • Filename
    6977072