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Viewpoint Interpolation Using an Ellipsoid Head Model for Video Teleconferencing

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Advances in Visual Computing (ISVC 2005)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 3804))

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Abstract

To establish eye contact in video teleconferencing, it is necessary to synthesize a front view image by viewpoint interpolation. After finding the viewing direction of a user, we can interpolate an image seen from the viewpoint, which will result in a front view image. There are two categories of previous research: image based method and model based method. The former is simple, however, it shows limited performance for complex objects. And the latter is robust to noise, whereas it is computationally expensive. We propose to model a face with an ellipsoid and show that the new method is simple and robust from various experiments.

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References

  1. Ott, M., Lewis, J., Cox, I.: Teleconferencing Eye Contact Using a Virtual Camera. In: Proc. Conf. Human Factors in Computing Systems, pp. 109–110 (1993)

    Google Scholar 

  2. Saito, H., Kimura, M., Yaguchi, S., Inamoto, N.: View Interpolation of Multiple Cameras Based on Projective Geometry. In: Proc. of Int’l. Workshop on Pattern Recognition and Understanding for Visual Information Media, pp. 57–62 (2002)

    Google Scholar 

  3. Gemmell, J., Zitnick, C.L., Kang, T., Toyoma, K., Seitz, S.: Gaze-Awareness for Videoconferencing. IEEE Multimedia 7(4), 26–35 (2000)

    Article  Google Scholar 

  4. Cham, T.J., Krishnamoorthy, S., Jones, M.: Analogous View Transfer for Gaze Correction in Video Sequences. In: Proc. Int’l. Conf. Automation, Robotics, Control and Vision (2002)

    Google Scholar 

  5. Yang, R., Zhang, Z.: Eye Gaze Correction with Stereovision for Video-teleconferencing. IEEE Trans. on Pattern Analysis and Machine Intelligence 26(7), 956–960 (2004)

    Article  Google Scholar 

  6. Brown, M.Z., Burschka, D., Hager, G.D.: Advances in Computational Stereo. IEEE Trans. on Pattern Analysis and Machine Intelligence 25(8), 993–1008 (2003)

    Article  Google Scholar 

  7. Hartley, R., Zisserman, A.: Multiple View Geometry in Computer Vision. Cambridge University Press, Cambridge (2000)

    MATH  Google Scholar 

  8. Jain, R., Kasturi, R., Schunck, B.G.: Machine Vision. McGraw-Hill, New York (1995)

    Google Scholar 

  9. Birchfield, S., Tomasi, C.: Multiway Cut for Stereo and Motion with Slanted Surfaces. In: Proc. Int’l. Conf. Computer Vision, vol. 1, pp. 489–495 (1999)

    Google Scholar 

  10. Birchfield, S., Tomasi, C.: Depth Discontinuities by Pixel-to-Pixel Stereo. In: Proc. of the Sixth IEEE International Conf. on Computer Vision, Mumbai, India, pp. 1073–1080 (1998)

    Google Scholar 

  11. Huang, F.J., Chen, T.: Tracking of Multiple Faces for Human-computer Interfaces and Virtual Environments. In: IEEE Int’l. Conf. on Multimedia and Expo., New York (2000)

    Google Scholar 

  12. Yang, M.H., Kriegman, D., Ahuja, N.: Detecting Faces in Images: A Survey. IEEE Trans. on Pattern Analysis and Machine Vision 24(1), 34–58 (2004)

    Article  Google Scholar 

  13. Yip, B., Jin, J.S.: Face Re-Orientation Using Ellipsoid Model in Video Conference. In: Proc. of the Seventh International Conference on Internet and Multimedia Systems and Applications, Hawaii, pp. 245–250 (2003)

    Google Scholar 

  14. Tsai, R.: A versatile Camera Calibration Technique for High Accuracy 3D Machine Vision Metrology Using off the shelf TV Cameras and Lenses. IEEE Journal of Robotics and automation 3(4), 323–344 (1987)

    Article  Google Scholar 

  15. Gee, A.H., Cipolla, R.: Determining the Gaze of Faces in Images. Image Vision Computing 12(10), 639–647 (1994)

    Article  Google Scholar 

  16. Hansen, D.W., Pece, A.: Eye Typing off the Shelf. In: IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Washington D.C., U.S.A., vol. 2, pp. 159–164 (2004)

    Google Scholar 

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© 2005 Springer-Verlag Berlin Heidelberg

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Yoon, NR., Lee, BU. (2005). Viewpoint Interpolation Using an Ellipsoid Head Model for Video Teleconferencing. In: Bebis, G., Boyle, R., Koracin, D., Parvin, B. (eds) Advances in Visual Computing. ISVC 2005. Lecture Notes in Computer Science, vol 3804. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11595755_35

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  • DOI: https://doi.org/10.1007/11595755_35

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-30750-1

  • Online ISBN: 978-3-540-32284-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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