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Tracking surfaces via texture-mapping: A boot-strapping approach

  • Alistair Bray
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 970)

Abstract

Mapping grey-level texture onto a surface model with known 3D structure enables tracking of the surface through a sequence of frames. The first frame position is assumed known. Since surface structure is known, grey-level texture can be mapped onto the 3D surface, and this texture is used to track the surface into the next frame; as more of the surface is revealed, more texture is mapped onto the surface which facilitates further tracking. Using this boot-strapping approach means that tracking and texture-mapping proceed simultaneously. Results are presented on a sequence of images in which a Champagne bottle is successfully tracked whilst rotating. At the end of the sequence the motion-path that the surface followed is known, and grey-level texture has been mapped onto the surface.

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References

  1. 1.
    Bray A J. Tracking objects Using image disparities. Proceedings of the 5th Alvey Vision Conference, Reading, 1989.Google Scholar
  2. 2.
    Bray A J. Recognising and Tracking Polyhedral Objects. PhD thesis, School of Cognitive and Computing Sciences, University of Sussex, UK, 1990.Google Scholar
  3. 3.
    Bray A J. Tracking curved objects by perspective inversion. Proceedings of the 2nd British Machine Vision Conference BMVC, 1991.Google Scholar
  4. 4.
    Stephens R S. Real-time 3D object tracking. Proceedings of the 5th Alvey Vision Conference, Reading, pages 85–90, 1989.Google Scholar
  5. 5.
    Harris C and Stennettt C. RAPID — a video rate object tracker. Proceedings of the 1st British Machine Vision Conference BMVC, pages 73–77, 1990.Google Scholar
  6. 6.
    Lowe D G. Stabilised solution for 3D model parameters. The First European Conference of Computer Vision, 1990.Google Scholar
  7. 7.
    Lowe D G. Fitting parameterised 3D models to images. IEEE Pattern Analysis and Machine Intelligence PAMI, 13(5):441–450, 1991.Google Scholar
  8. 8.
    North P R J. Reconstruction of visual appearance. Proceedings of the 1st British Machine Vision Conference BMVC, pages 205–210, 1990.Google Scholar
  9. 9.
    Lowe D G. Three-dimensional object recognition from two-dimensional images. Artificial Intelligence, 31(3), 1987.Google Scholar
  10. 10.
    Worrall A D, Baker K D, and Sullivan G D. Model based perspective inversion. Proceedings of the 4th Alvey Vision Conference, Manchester, pages 13–18, 1988.Google Scholar
  11. 11.
    Nishihara H K. Practical real-time imaging stereo matcher. Optical Engineering, 23(5):536–545, 1984.Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 1995

Authors and Affiliations

  • Alistair Bray
    • 1
  1. 1.School of Cognitive and Computing SciencesUniversity of SussexEngland

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