• DocumentCode
    3425580
  • Title

    A Unified Rolling Shutter and Motion Blur Model for 3D Visual Registration

  • Author

    Meilland, Maxime ; Drummond, Tom ; Comport, Andrew I.

  • Author_Institution
    I3S, Univ. of Nice Sophia Antipolis, Nice, France
  • fYear
    2013
  • fDate
    1-8 Dec. 2013
  • Firstpage
    2016
  • Lastpage
    2023
  • Abstract
    Motion blur and rolling shutter deformations both inhibit visual motion registration, whether it be due to a moving sensor or a moving target. Whilst both deformations exist simultaneously, no models have been proposed to handle them together. Furthermore, neither deformation has been considered previously in the context of monocular full-image 6 degrees of freedom registration or RGB-D structure and motion. As will be shown, rolling shutter deformation is observed when a camera moves faster than a single pixel in parallax between subsequent scan-lines. Blur is a function of the pixel exposure time and the motion vector. In this paper a complete dense 3D registration model will be derived to account for both motion blur and rolling shutter deformations simultaneously. Various approaches will be compared with respect to ground truth and live real-time performance will be demonstrated for complex scenarios where both blur and shutter deformations are dominant.
  • Keywords
    image colour analysis; image motion analysis; image registration; 3D visual registration; RGB-D motion; RGB-D structure; blur deformations; ground truth; monocular full-image context; motion blur model; moving sensor; moving target; red-green-blue-depth; rolling shutter deformations; unified rolling shutter; visual motion registration; Cameras; Deformable models; Estimation; Mathematical model; Real-time systems; Solid modeling; Three-dimensional displays; Dense; Motion Blur; Real-time; Registration; Rolling Shutter; Tracking;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision (ICCV), 2013 IEEE International Conference on
  • Conference_Location
    Sydney, VIC
  • ISSN
    1550-5499
  • Type

    conf

  • DOI
    10.1109/ICCV.2013.252
  • Filename
    6751361