• DocumentCode
    3672496
  • Title

    Video magnification in presence of large motions

  • Author

    Mohamed A. Elgharib;Mohamed Hefeeda;Frédo Durand;William T. Freeman

  • Author_Institution
    Qatar Computing Research Institute, Doha, Qatar
  • fYear
    2015
  • fDate
    6/1/2015 12:00:00 AM
  • Firstpage
    4119
  • Lastpage
    4127
  • Abstract
    Video magnification reveals subtle variations that would be otherwise invisible to the naked eye. Current techniques require all motion in the video to be very small, which is unfortunately not always the case. Tiny yet meaningful motions are often combined with larger motions, such as the small vibrations of a gate as it rotates, or the microsaccades in a moving eye. We present a layer-based video magnification approach that can amplify small motions within large ones. An examined region/layer is temporally aligned and subtle variations are magnified. Matting is used to magnify only region of interest while maintaining integrity of nearby sites. Results show handling larger motions, larger amplification factors and significant reduction in artifacts over state of the art.
  • Keywords
    "Adaptive optics","Logic gates","Optical sensors","Vibrations","Tracking","Optical imaging","Optical filters"
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision and Pattern Recognition (CVPR), 2015 IEEE Conference on
  • Electronic_ISBN
    1063-6919
  • Type

    conf

  • DOI
    10.1109/CVPR.2015.7299039
  • Filename
    7299039