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Tytuł artykułu

MCFI-based animation tweening algorithm for 2D parametric motion flow/optical flow

Wybrane pełne teksty z tego czasopisma
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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
In hand drawn animation, some of the animations are created at very low frame rates (12 frames per second) because of a limited budget. A simple technique for increasing frame rates is animation tweening. In fact, most animation tweening applications process only vector-based objects. Further, there is no algorithm which can automatically define extensive modelling and animation of 3D objects for the animation tweening process. In this work, a raster-based animation tweening algorithm which does not require extensive modelling and animation of 3D objects is presented. The algorithm is based on motion-compensated frame rate up-conversion (MC-FRC), whose performance depends heavily on motion estimation (ME). A more accurate flow field, which is a combination of 2D parametric motion flow field and optical flow field, is developed. The results obtained for various types of hand drawn animation scenes are illustrated. The experimental results show that higher quality in-between frames can be obtained by the proposed algorithm.
Twórcy
  • CSIM, SAT, Asian Institute of Technology, P.O. Box 4 Klong Luang, Pathumthani 12120, Thailand, tks@cs.tu.ac.th
Bibliografia
  • [1] Barron J. L., Fleet D. J., Beauchemin S. S., Burkitt T. A.: Performance of optical flow techniques. CVPR, 92, 236-242, 1992.
  • [2] Barron J. L., Fleet D. J., Beauchemin S. S.: Performance of optical flow techniques. International Journal of Computer Vision, 12(1), 43-77,1994.
  • [3] Patterson J. W., Willis P. J. : Computer assisted animation: 2D or not 2D? The Computer Journal, 37(10), 829-839, 1994.
  • [4] Blair. P.: Cartoon Animation. Walter Foster Publishing Inc., ISBN: 1-56010-084-2, 1994.
  • [5] Odobez J. M., Bouthemy P.: Robust multiresolution estimation of parametric motion models. Journal of Visual Communication and Image Representation, 348-365, 1995.
  • [6] Camus T. A.: Real-time optical flow. Technical Report CS-94-36, 1995.
  • [7] Nettleship T., Willis P.: The animachine renderer. Computer Graphics, 90-97, 1995.
  • [8] Benoit S., Ferrie F.: Monocular optical flow for realtime vision systems. Proc. of the 13th Int. Conf. on Pattern Recognition, 864-868, 1996.
  • [9] Hongche Liu, Tsai-Hong Hong, Herman M., Camus T., Rama Chellappa: Accuracy vs efficiency trade-offs in optical flow algorithms. Computer Vision and Image Understanding: CVIU, 72(3), 271-286, 1998.
  • [10] Bouguet J. Y.: Pyramidal implementation of the lucas kanade feature trackerdescription of the algorithm. OpenCV Documents, 1999.
  • [11] Fiore F. D., Schaeken P., Elens K., Reeth F. V.: Automatic In-betweening in Computer Assisted Animation by Exploiting 2.5D Modelling Techniques. Proc. of the 14th Conf. on Computer Animation, 192-200, 2001.
  • [12] Christoudias C., Georgescu B., Meer P.: Synergism in low-level vision. Proc. of 16th Int. Conf. On Pattern Recognition, Quebec City, Canada, 150-155, 2002.
  • [13] Comanicu D., Meer P.: Mean shift: A robust approach toward feature space analysis. IEEE Trans. PAMI, 603-619, 2002.
  • [14] Wong K. Y., Spetsakis M. E.: Motion segmentation and tracking. Proc. of 15th Int. Conf. on Vision Interface, Calgary, Canada, 80-87, 2002.
  • [15] Wong K. Y., Spetsakis M. E.: Tracking, segmentation and optical flow. Proc. of 16th Int. Conf. on Vision Interface, Halifax, Canada, 57-64, 2003.
  • [16] Sakchaicharoenkul T.: Mcfi-based animation tweening algorithm. Proc. of Int. Conf. on Computer Vision and Graphics, Warsaw, Poland, 2004.
  • [17] Sakchaicharoenkul T.: Hybrid quadratic flow/ optical flow mcfi-based animation tweening algorithm. Proc. of 10th Int. Conf. on Virtual System and Multimedia, Gifu, Japan, 2004.
  • [18] Sakchaicharoenkul T.: Combined quadratic flow/ mcfi-based animation tweening algorithm. Proc. of Computer Vision/ Computer Graphics Collaboration Techniques and Applications, INRIA Rocquencourt, France, 2005.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BWA0-0016-0003
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