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A Semi-automatic 3D Reconstruction Algorithm for Telepresence

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Advances in Visual Computing (ISVC 2006)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 4292))

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Abstract

The use of three dimensional computer based models has increased tremendously in the last decades. This is due to the need of numerous emerging applications like telepresence and virtual reality. In the context of telepresence, this paper implements a semi-automatic 3D model reconstruction algorithm from stereo images. The major contribution in this work lies in three main parts: calibration, stereo correspondences, and 3D objects alignement. It is semi-automatic since the calibration technique requires some intervention. However, this will add the ability to change the zoom during the acquisition process.

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References

  1. Kropatsch, W.G., Bischof, H. (eds.): Digital Image Analysis, 1st edn. Springer, Heidelberg (2001)

    MATH  Google Scholar 

  2. Hartley, R., Zisserman, A.: Multiple View Geometry in Computer Vision, 2nd edn. Cambridge University Press, Cambridge (2004)

    MATH  Google Scholar 

  3. Pollefeys, M., Koch, R., Van Gool, L.J.: A simple and efficient rectification method for general motion. In: International Conference on Computer Vision, pp. 496–501 (1999)

    Google Scholar 

  4. Fusiello, A., Trucco, E., Verri, A.: A compact algorithm for rectification of stereo pairs. Machine Vision and Applications 12(1), 16–22 (2000)

    Article  Google Scholar 

  5. Scharstein, D., Szeliski, R.: A taxonomy and evaluation of dense two-frame stereo correspondence algorithms. International Journal of Computer Vision 47(1), 7–42 (2001)

    Article  Google Scholar 

  6. Bouguet, J.Y.: Camera calibration toolbox for matlab (2003)

    Google Scholar 

  7. Trucco, E., Verri, A.: Introductory techniques for 3-D computer vision, 1st edn. Prentice-Hall, Englewood Cliffs (1998)

    Google Scholar 

  8. Ballantyne, G.H.: Robotic surgery, telerobotic surgery, telepresence, and telementoring. Springer Link 16(10), 1389–1402 (2002)

    Google Scholar 

  9. Burkert, T., Leupold, J., Passig, G.: A photorealistic predictive display. Presence: teleoperators and virtual environments 13(1), 22–43 (2004)

    Article  Google Scholar 

  10. Horaud, R., Csurka, G., Demirdijian, D.: Stereo calibration from rigid motions. IEEE Transactions on Pattern Analysis and Machine Intelligence 22(12), 1446–1452 (2000)

    Article  Google Scholar 

  11. Li, Y., Hung, Y.S.: A stratified self-calibration method for a stereo rig in planar motion with varying intrinsic parameters. In: Rasmussen, C.E., Bülthoff, H.H., Schölkopf, B., Giese, M.A. (eds.) DAGM 2004. LNCS, vol. 3175, pp. 318–325. Springer, Heidelberg (2004)

    Chapter  Google Scholar 

  12. Koch, R.: 3-D scene modeling from image sequences. ISPRS Archives XXXIV(3) (September 2003)

    Google Scholar 

  13. Middleburry stereo data sets, http://cat.middlebury.edu/stereo/data.html

  14. Kostkova, J., Sara, R.: Stratifed dense matching for stereopsis in complex structures. In: Britich Machine Vision Conference (2003)

    Google Scholar 

  15. Kolmogorov, V., Zabih, R.: Computing visual correspondence with occlusions using graph cuts. In: International Conference on Computer Vision (2001)

    Google Scholar 

  16. Cox, I.J., Higorani, S.L., Rao, S.B., Maggs, B.M.: A maximum likelihood stereo algorithm. Computer Vision and Image Understanding 63(3) (1996)

    Google Scholar 

  17. Šára, R.: Finding the largest unambiguous component of stereo matching. In: Heyden, A., Sparr, G., Nielsen, M., Johansen, P. (eds.) ECCV 2002. LNCS, vol. 2352, pp. 900–914. Springer, Heidelberg (2002)

    Google Scholar 

  18. Falkenhagen, L.: Hierarchical block based disparity estimation considering neighbourhood constraints. In: International workshop on SNHC and 3D Imaging (1997)

    Google Scholar 

  19. Leung, C., Appleton, B., Sun, C.: Fast stereo matching by iterated dynamic programming and quadtree subregioning. In: Britich Machine Vision Conference (2004)

    Google Scholar 

  20. Soille, P.: Morphological Image Analysis: Principles and Applications, 1st edn. Springer, Heidelberg (1999)

    MATH  Google Scholar 

  21. Triggs, B., McLauchlan, P.F., Hartley, R.I., Fitzgibbon, A.W.: Bundle adjustment – A modern synthesis. In: Triggs, B., Zisserman, A., Szeliski, R. (eds.) ICCV-WS 1999. LNCS, vol. 1883, p. 298. Springer, Heidelberg (2000)

    Chapter  Google Scholar 

  22. Rusinkiewicz, S., Levoy, M.: Efficient variants of the ICP algorithm. In: Third International Conference on 3D Digital Imaging and Modeling (2001)

    Google Scholar 

  23. Nister, D.: An efficient solution to the five-point relative pose problem. IEEE Transactions on Pattern Analysis and Machine Intelligence 26(6) (2004)

    Google Scholar 

  24. Zhao, W., Nister, D., Hsu, S.: Alignment of continuous video onto 3d point clouds. IEEE Transactions on Pattern Analysis and Machine Intelligence 27(8) (2005)

    Google Scholar 

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© 2006 Springer-Verlag Berlin Heidelberg

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Sarkis, M., Diepold, K. (2006). A Semi-automatic 3D Reconstruction Algorithm for Telepresence. In: Bebis, G., et al. Advances in Visual Computing. ISVC 2006. Lecture Notes in Computer Science, vol 4292. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11919629_60

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  • DOI: https://doi.org/10.1007/11919629_60

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-48626-8

  • Online ISBN: 978-3-540-48627-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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