Uncalibrated Camera Based Interactive 3DTV

  • M. S. Venkatesh
  • Santanu Chaudhury
  • Brejesh Lall
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6744)


In this paper we propose a novel architecture for an interactive 3DTV system based on multiple uncalibrated cameras placed at general positions. The signal representation scheme proposed is compatible with the standard multi view coding framework making it amenable to using existing coding and compression algorithms. The proposed scheme also fits naturally to the concept of true 3DTV viewing experience where the viewer can choose a novel viewpoint based on the contents of the scene.


Interactive 3DTV Uncalibrated cameras Plane sweeping Depth map 


  1. 1.
    Hoeim, D., Efros, A.A., Hebert, M.: Geometrical context from a single image. In: ICCV (2005)Google Scholar
  2. 2.
    Svoboda, T., Martinec, D., Pajdla, T.: A convenient multi-camera self-calibration for virtual environments. PRESENCE: Teleoperators and Virtual Environments 14(4), 407–422 (2005)CrossRefGoogle Scholar
  3. 3.
    Muller, K.: View Synthesis for Advanced 3D Video Systems. EURASIP Journal on Image and Video Processing 2008, article ID 438148, 11 pages (2008), doi:10.1155/2008/438148Google Scholar
  4. 4.
    Fehn, C.: A 3D-TV Approach Using Depth-Image-Based Rendering (DIBR). In: Proceedings of 3rd IASTED Conference on Visualization, Imaging, and Image Processing, September 2003, pp. 482–487 (2003)Google Scholar
  5. 5.
    Gallup, D., Frahm, J.M., Mordohai, P., Yang, Q., Pollefeys, M.: Real-Time Plane-Sweeping Stereo with Multiple Sweeping Directions. In: CVPR (2007)Google Scholar
  6. 6.
    Micusik, B., Kosecka, J.: Multi-view Superpixel Stereo in Urban Environments. International Journal of Computer Vision 89(1) (2010)Google Scholar
  7. 7.
    Sinha, S.N., Steedly, D., Szeliski, R.: Piecewise Planar Stereo for Image-based Rendering. In: ICCV (2009)Google Scholar
  8. 8.
    Boykov, Y., Veksler, O., Zabih, R.: Efficient Approximate Energy Minimization via Graph Cuts. IEEE TPAMI 23(11) (November 2001)Google Scholar
  9. 9.
    Kolmogorov, V., Zabih, R.: What Energy Functions can be Minimized via Graph Cuts? IEEE TPAMI 26(2), 147–159 (2004)CrossRefzbMATHGoogle Scholar
  10. 10.
    Boykov, Y., Kolmogorov, V.: An Experimental Comparison of Min-Cut/Max-Flow Algorithms for Energy Minimization in Vision. IEEE TPAMI 26(9), 1124–1137 (2004)CrossRefzbMATHGoogle Scholar
  11. 11.
    Delong, A., Osokin, A., Isack, H.N., Boykov, Y.: Fast Approximate Energy Minimization with Label Costs. In: CVPR (2010)Google Scholar
  12. 12.
    Fehn, C., De La Barr, R., Pastoor, S.: Interactive 3-DTV.Concepts and Key Technologies. Proceedings of IEEE 94(3) (March 2006)Google Scholar
  13. 13.
    Lou, J., Cai, H., Li, J.: A RealTime Interactive MultiView Video System. In: MM 2005 Proceedings of the 13th ACM conference on Multimedia (2005)Google Scholar
  14. 14.
    Kubota, A., Smolic, A., Magnor, M., Tanimoto, M., Chen, T., Zhang, C.: Multiview Imaging and 3DTV. IEEE Signal Process. Mag. 24(6), 10–21 (2007)CrossRefGoogle Scholar
  15. 15.
    Hartley, R., Zisserman, A.: Multiple view geometry in Computer Vision, March 2004. Cambridge University Press, Cambridge (2004)CrossRefzbMATHGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • M. S. Venkatesh
    • 1
  • Santanu Chaudhury
    • 1
  • Brejesh Lall
    • 1
  1. 1.Department of Electrical EngineeringIIT DelhiIndia

Personalised recommendations