• DocumentCode
    327927
  • Title

    Creating virtual scenes using active contours and global motion estimation

  • Author

    Giaccone, P.R. ; Greenhill, D. ; Jones, G.A.

  • Author_Institution
    Sch. of Comput. Sci. & Electron. Syst., Kingston Univ., UK
  • Volume
    2
  • fYear
    1998
  • fDate
    16-20 Aug 1998
  • Firstpage
    1505
  • Abstract
    This paper demonstrates how active contour segmentation and optical flow estimation techniques can be combined to create a seamless mosaic of frames from a video sequence. This virtual scene forms the basis of a number of post-production effects such as creating new image trajectories for the shot, or special effects which include new foreground elements. The optical flow method produces highly accurate global motion estimates by drawing upon an appropriate 3D geometrical model of camera motion. The active contour technique has been extended to include user selected edge data to guide crudely specified initial contours to their final location. The resultant rotoscoping tool dramatically improves the performance of traditional tools by using edge chain matching to relocate the active contour in subsequent frames
  • Keywords
    edge detection; image matching; image segmentation; image sequences; motion estimation; solid modelling; video signal processing; virtual reality; 3D geometrical model; active contour segmentation; edge chain matching; motion estimation; optical flow; rotoscoping; special effects; video sequence; virtual scenes; Active contours; Cameras; Electrical capacitance tomography; Image motion analysis; Image segmentation; Image sequences; Layout; Motion estimation; Optical films; Production;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition, 1998. Proceedings. Fourteenth International Conference on
  • Conference_Location
    Brisbane, Qld.
  • ISSN
    1051-4651
  • Print_ISBN
    0-8186-8512-3
  • Type

    conf

  • DOI
    10.1109/ICPR.1998.711992
  • Filename
    711992