• DocumentCode
    2203701
  • Title

    A semi-automatic method for resolving occlusion in augmented reality

  • Author

    Lepetit, Vincent ; Berger, Marie-Odile

  • Author_Institution
    LORIA, Inst. Nat. de Recherche en Inf. et Autom., Villers les Nancy, France
  • Volume
    2
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    225
  • Abstract
    Realistic merging of virtual and real objects requires that the augmented patterns be correctly occluded by foreground objects. In this paper we propose a semi-automatic method for resolving occlusion in augmented reality which makes use of key-views. Once the user has outlined the occluding objects in the key-views, our system detects automatically these occluding objects in the intermediate views. A region of interest that contains the occluding objects is first computed from the outlined silhouettes. One of the main contribution of this paper is that this region takes into account the uncertainty on the computed interframe motion. Then a deformable region-based approach is used to recover the actual occluding boundary within the region of interest from this prediction
  • Keywords
    augmented reality; augmented reality; key-views; occlusion; resolving occlusion; Application software; Augmented reality; Electrical capacitance tomography; Image reconstruction; Layout; Merging; Object detection; Shape; Uncertainty; Videos;
  • 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.2000.854794
  • Filename
    854794