• DocumentCode
    3673991
  • Title

    Locally non-rigid registration for mobile HDR photography

  • Author

    Orazio Gallo;Alejandro Troccoli;Jun Hu;Kari Pulli;Jan Kautz

  • Author_Institution
    NVIDIA, Santa Clara, California, United States
  • fYear
    2015
  • fDate
    6/1/2015 12:00:00 AM
  • Firstpage
    48
  • Lastpage
    55
  • Abstract
    Image registration for stack-based HDR photography is challenging. If not properly accounted for, camera motion and scene changes result in artifacts in the composite image. Unfortunately, existing methods to address this problem are either accurate, but too slow for mobile devices, or fast, but prone to failing. We propose a method that fills this void: our approach is extremely fast - under 700ms on a commercial tablet for a pair of 5MP images - and prevents the artifacts that arise from insufficient registration quality.
  • Keywords
    "Cameras","Robustness","Image edge detection","Accuracy","Mobile handsets","Image color analysis"
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision and Pattern Recognition Workshops (CVPRW), 2015 IEEE Conference on
  • Electronic_ISBN
    2160-7516
  • Type

    conf

  • DOI
    10.1109/CVPRW.2015.7301366
  • Filename
    7301366