• DocumentCode
    3420288
  • Title

    Joint Subspace Stabilization for Stereoscopic Video

  • Author

    Feng Liu ; Yuzhen Niu ; Hailin Jin

  • fYear
    2013
  • fDate
    1-8 Dec. 2013
  • Firstpage
    73
  • Lastpage
    80
  • Abstract
    Shaky stereoscopic video is not only unpleasant to watch but may also cause 3D fatigue. Stabilizing the left and right view of a stereoscopic video separately using a monocular stabilization method tends to both introduce undesirable vertical disparities and damage horizontal disparities, which may destroy the stereoscopic viewing experience. In this paper, we present a joint subspace stabilization method for stereoscopic video. We prove that the low-rank subspace constraint for monocular video [10] also holds for stereoscopic video. Particularly, the feature trajectories from the left and right video share the same subspace. Based on this proof, we develop a stereo subspace stabilization method that jointly computes a common subspace from the left and right video and uses it to stabilize the two videos simultaneously. Our method meets the stereoscopic constraints without 3D reconstruction or explicit left-right correspondence. We test our method on a variety of stereoscopic videos with different scene content and camera motion. The experiments show that our method achieves high-quality stabilization for stereoscopic video in a robust and efficient way.
  • Keywords
    cameras; feature extraction; stereo image processing; video signal processing; 3D fatigue; 3D reconstruction; camera motion; damage horizontal disparities; feature trajectories; low-rank subspace constraint; monocular stabilization method; monocular video; shaky stereoscopic video; stereo subspace stabilization method; stereoscopic constraints; subspace stabilization; subspace stabilization method; vertical disparities; Cameras; Equations; Joints; Mathematical model; Stereo image processing; Three-dimensional displays; Trajectory;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision (ICCV), 2013 IEEE International Conference on
  • Conference_Location
    Sydney, NSW
  • ISSN
    1550-5499
  • Type

    conf

  • DOI
    10.1109/ICCV.2013.16
  • Filename
    6751118