Skip to main content
SpringerLink
Log in
Book cover

Robotics Research pp 295–304Cite as

Fusion of Stereo, Colour and Contrast

  • Conference paper

  • 4778 Accesses

Part of the book series: Springer Tracts in Advanced Robotics ((STAR,volume 28))

Abstract

Stereo vision has numerous applications in robotics, graphics, inspection and other areas. A prime application, one which has driven work on stereo in our laboratory, is teleconferencing in which the use of a stereo webcam already makes possible various transformations of the video stream. These include digital camera control, insertion of virtual objects, background substitution, and eye-gaze correction [9, 8].

This is a preview of subscription content, log in via an institution.

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   259.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   329.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD   329.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. P.N. Belhumeur. A Bayesian approach to binocular stereopsis. Int. J. Computer Vision, 19(3):237–260, 1996.

    Article  Google Scholar 

  2. A. Blake, C. Rother, M. Brown, P. Perez, and P. Torr. Interactive image segmentation using an adaptive GMMRF model. In Proc. European Conf. Computer Vision, pages 428–441. Springer-Verlag, 2004.

    Google Scholar 

  3. A. Blake and A. Zisserman. Visual Reconstruction. MIT Press, Cambridge, USA, 1987.

    Google Scholar 

  4. Y.Y. Boykov and M-P. Jolly. Interactive graph cuts for optimal boundary and region segmentation of objects in N-D images. In Proc. Int. Conf. on Computer Vision, pages 105–112, 2001.

    Google Scholar 

  5. Y.Y. Boykov, O. Veksler, and R.D. Zabih. Fast approximate energy minimization via graph cuts. IEEE Trans. on Pattern Analysis and Machine Intelligence, 23(11), 2001.

    Google Scholar 

  6. Y-Y Chuang, B. Curless, D.H. Salesin, and R. Szeliski. A Bayesian approach to digital matting. In Proc. Conf. Computer Vision and Pattern Recognition, pages CD-ROM, 2001.

    Google Scholar 

  7. I.J. Cox, S.L. Hingorani, and S.B. Rao. A maximum likelihood stereo algorithm. Computer vision and image understanding, 63(3):542–567, 1996.

    Article  Google Scholar 

  8. A. Criminisi, J. Shotton, A. Blake, and P.H.S. Torr. Efficient dense stereo and novel view synthesis for gaze manipulation in one-to-one teleconferencing. Technical Report MSR-TR-2003-59, Microsoft Research Cambridge, 2003.

    Google Scholar 

  9. A. Criminisi, J. Shotton, A. Blake, and P.H.S. Torr. Gaze manipulation for one to one teleconferencing. In Proc. Int. Conf. on Computer Vision, pages 191–198, 2003.

    Google Scholar 

  10. D. Geiger, B. Ladendorf, and A. Yuille. Occlusions and binocular stereo. Int. J. Computer Vision, 14:211–226, 1995.

    Article  Google Scholar 

  11. S. Geman and D. Geman. Stochastic relaxation, Gibbs distributions, and the Bayesian restoration of images. IEEE Trans. on Pattern Analysis and Machine Intelligence, 6(6):721–741, 1984.

    MATH  Google Scholar 

  12. V. Kolmogorov, A. Criminisi, A. Blake, G. Cross, and C. Rother. Bi-layer segmentation of binocular stereo video. In Proc. Conf. Computer Vision and Pattern Recognition, 2005.

    Google Scholar 

  13. V. Kolmogorov and R. Zabih. Multi-camera scene reconstruction via graph cuts. In Proc. European Conf. Computer Vision, pages 82–96, 2002.

    Google Scholar 

  14. J. D. Lafferty, A. McCallum, and F. C. N. Pereira. Conditional random fields: Probabilistic models for segmenting and labeling sequence data. In ICML’ 01: Proc. Int. Conf. Machine Learning, pages 282–289, San Francisco, CA, USA, 2001. Morgan Kaufmann Publishers Inc.

    Google Scholar 

  15. Y. Ohta and T. Kanade. Stereo by intra-and inter-scan line search using dynamic programming. IEEE Trans. on Pattern Analysis and Machine Intelligence, 7(2):139–154, 1985.

    Article  Google Scholar 

  16. P. Perona and J. Malik. Scale-space and edge detection using anisotropic diffusion. IEEE Trans. on Pattern Analysis and Machine Intelligence, 12(7):629–639, 1990.

    Article  Google Scholar 

  17. C. Rother, V. Kolmogorov, and A. Blake. Grabcut: Interactive foreground extraction using iterated graph cuts. ACM Trans. Graph., 23(3):309–314, 2004.

    Article  Google Scholar 

  18. D. Scharstein and R. Szeliski. A taxonomy and evaluation of dense two-frame stereo correspondence algorithms. Int. J. Computer Vision, 47(1–3):7–42, 2002.

    Article  MATH  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Microsoft Research Cambridge, 7 JJ Thomson Avenue, Cambridge, UK

    A. Blake, A. Criminisi, G. Cross, V. Kolmogorov & C. Rother

Authors
  1. A. Blake
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. A. Criminisi
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. G. Cross
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. V. Kolmogorov
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. C. Rother
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Department of Computer Science, Stanford University, CA, 94305-9045, Stanford, USA

    Sebastian Thrun

  2. MIT Computer Science & Artificial Intelligence Laboratory (CSAIL), 32 Vassar Street, MA, 02139, Cambridge, USA

    Rodney Brooks

  3. Australian Centre for Field Robotics, University of Sydney, 2006, Sydney, Australia

    Hugh Durrant-Whyte

Rights and permissions

Reprints and permissions

Copyright information

© 2007 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Blake, A., Criminisi, A., Cross, G., Kolmogorov, V., Rother, C. (2007). Fusion of Stereo, Colour and Contrast. In: Thrun, S., Brooks, R., Durrant-Whyte, H. (eds) Robotics Research. Springer Tracts in Advanced Robotics, vol 28. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-48113-3_27

Download citation

  • DOI: https://doi.org/10.1007/978-3-540-48113-3_27

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-48110-2

  • Online ISBN: 978-3-540-48113-3

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics

Search

Navigation