• DocumentCode
    2207412
  • Title

    Multi-view 3D analysis with applications for augmented reality and enhanced video visualization

  • Author

    Guo, Yanlin ; Hsu, Steve ; Samarasekera, Supun ; Sawhney, Harpreet ; Kumar, Rakesh

  • Author_Institution
    Sarnoff Corp., Princeton, NJ, USA
  • Volume
    2
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    780
  • Abstract
    The article presents methods for 3D scene geometry recovery/refinement and pose estimation from motion imagery in two representative scenarios. First, we present a method for pose estimation and scene geometry recovery from extended sequences without prior knowledge of the scheme. Second, we discuss how to recover camera poses when a rough scene model is provided. We show how to extend and refine the scene model using the recovered poses. Finally, we present applications of the above techniques for 3D imagery manipulation such as enhanced visualization for video and 3D insertion of synthetic objects in the imagery
  • Keywords
    augmented reality; data visualisation; image motion analysis; image sequences; stereo image processing; video signal processing; 3D imagery manipulation; 3D scene geometry recovery; 3D scene geometry refinement; 3D synthetic object insertion; augmented reality; camera pose recovery; enhanced video visualization; extended sequences; motion imagery; multi-view 3D analysis; pose estimation; rough scene model; Augmented reality; Cameras; Geometry; Layout; Maximum likelihood estimation; Motion estimation; Parameter estimation; Solid modeling; State estimation; Visualization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision and Pattern Recognition, 2000. Proceedings. IEEE Conference on
  • Conference_Location
    Hilton Head Island, SC
  • ISSN
    1063-6919
  • Print_ISBN
    0-7695-0662-3
  • Type

    conf

  • DOI
    10.1109/CVPR.2000.854955
  • Filename
    854955