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Using Camera Tracking and Image Composition Technique in Visual Effect Imaginary Production

시각효과 영상제작에서 카메라 추적과 영상합성 기술의 활용

  • Received : 2010.12.30
  • Accepted : 2011.06.14
  • Published : 2011.06.28

Abstract

Visual effect production by computer graphics techniques has become more important in these days. However, there are three problems in the domestic contents production environments. First of all, most Korean film companies have insufficient generally potential to maintain and support their R&D (Research and Development) teams. Secondly, they are much dependent on the abroad commercial software tools. Finally, many people have to participate in the image production pipeline, called the labor-intensive pipeline. In producing a demonstration work, "The Sixty -miles-an-hour man", we have evaluated the usefulness of the developed camera tracking and image composition methods and then examined various production consideration elements. In addition, in order to develop a productive technical element and write a competitive film script, mutual understanding between the developers and the production users should be achieved. Also, this paper describes a role of the technical supervisor to direct the production environment in detail.

Keywords

Digital Contents;Visual Effect Production;Camera Tracking;Image Composition

References

  1. M. Pollefeys, L. Van Gool, M. Vergauwen, F. Verbiest, K. Cornelis, J. Tops, and R. Koch, "Visual Modeling with a Hand-held amera," International Journal of Computer Vision. Vol.59, No.3, pp.207-232, 2004. https://doi.org/10.1023/B:VISI.0000025798.50602.3a
  2. www.vicon.com/boujou
  3. www.thepixelfarm.co.uk/product.php?productId=2
  4. Z. Zhang. A flexible new technique for camera calibration. IEEE Transactions on Pattern Analysis and Machine Intelligence, pp,1330-1334, 2000. https://doi.org/10.1109/34.888718
  5. R. K. Kumar, A. Ilie, J. Frahm, and M. Pollefeys. Simple Calibration of Non-overlapping Cameras with a Mirror. In Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2008. https://doi.org/10.1109/CVPR.2008.4587676
  6. R. I. Hartley and A. Zisserman. Multiple View Geometry in Computer Vision. Cambridge Press, Vol.2, Appendix 6, 2003(11).
  7. R. I. Hartley and P. Sturm, Triangulation. Technical paper.
  8. M. Pollefeys, L. Van Gool, M. Vergauwen, F. Verbiest, K. Cornelis, J. Tops, and R. Koch, Visual Modeling with a Hand-held Camera. In International Journal of Computer Vision. Vol.59, No.3, pp.207-232, 2004. https://doi.org/10.1023/B:VISI.0000025798.50602.3a
  9. http://features.cgsociety.org/story_custom.php?story_id =3934&page=4

Acknowledgement

Supported by : 학술연구재단