Skip to main content
SpringerLink
Log in
Book cover

International Workshop on Vision Algorithms

IWVA 1999: Vision Algorithms: Theory and Practice pp 278–294Cite as

Feature Based Methods for Structure and Motion Estimation

  • Conference paper
  • First Online:

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1883))

Abstract

This report is a brief overview of the use of “feature based” methods in structure and motion computation. A companion paper by Irani and Anandan [16] reviews “direct” methods.

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   39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   54.99
Price excludes VAT (USA)
  • Compact, lightweight 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. S. Avidan and A. Shashua. Threading fundamental matrices. In Proc. 5th European Conference on Computer Vision, Freiburg, Germany, pages 124–140, 1998.

    Google Scholar 

  2. C. Baillard and A. Zisserman. Automatic reconstruction of piecewise planar models from multiple views. In Proc. IEEE Conference on Computer Vision and Pattern Recognition, pages 559–565, June 1999.

    Google Scholar 

  3. P. A. Beardsley, P. H. S. Torr, and A. Zisserman. 3D model aquisition from extended image sequences. In Proc. 4th European Conference on Computer Vision, LNCS 1065, Cambridge, pages 683–695, 1996.

    Google Scholar 

  4. P. A. Beardsley, A. Zisserman, and D. W. Murray. Navigation using affine structure and motion. In Proc. European Conference on Computer Vision, LNCS 800/801, pages 85–96. Springer-Verlag, 1994.

    Google Scholar 

  5. J. Bergen, P. Anandan, K.J. Hanna, and R. Hingorani. Hierarchical model-based motion estimation. In Proc. European Conference on Computer Vision, LNCS 588, pages 237–252. Springer-Verlag, 1992.

    Google Scholar 

  6. J. M. Brady. Seeds of perception. In Proceedings of the 3rd Alvey Vision Conference, pages 259–265, 1987.

    Google Scholar 

  7. D. Capel and A. Zisserman. Automated mosaicing with super-resolution zoom. In Proc. IEEE Conference on Computer Vision and Pattern Recognition, Santa Barbara, pages 885–891, June 1998.

    Google Scholar 

  8. D. Capel and A. Zisserman. Super-resolution enhancement of text image sequences. In Proc. International Conference on Pattern Recognition, 2000.

    Google Scholar 

  9. 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 

  10. A. W. Fitzgibbon and A. Zisserman. Automatic camera recovery for closed or open image sequences. In Proc. European Conference on Computer Vision, pages 311–326. Springer-Verlag, June 1998.

    Google Scholar 

  11. K.J. Hanna and E. Okamoto. Combining stereo and motion analysis for direct estimation of scene structure. In Proc. IEEE Conference on Computer Vision and Pattern Recognition, pages 357–365, 1993.

    Google Scholar 

  12. C. J. Harris and M. Stephens. A combined corner and edge detector. In Proc. 4th Alvey Vision Conference, Manchester, pages 147–151, 1988.

    Google Scholar 

  13. R. I. Hartley. Self-calibration from multiple views with a rotating camera. In Proc. European Conference on Computer Vision, LNCS 800/801, pages 471–478. Springer-Verlag, 1994.

    Google Scholar 

  14. R. I. Hartley and A. Zisserman. Multiple View Geometry in Computer Vision. Cambridge University Press, ISBN: 0521623049, 2000.

    Google Scholar 

  15. P. Havaldar and G. Medioni. Segmented shape descriptions from 3-view stereo. In Proc. International Conference on Computer Vision, pages 102–108, 1995.

    Google Scholar 

  16. M. Irani and P. Anandan. About direct methods. In Vision Algorithms: Theory and Practice. Springer-Verlag, 2000.

    Google Scholar 

  17. M. Irani, P. Anandan, and S. Hsu. Mosaic based representations of video sequences and their applications. In Proc. 5th International Conference on Computer Vision, Boston, pages 605–611, 1995.

    Google Scholar 

  18. M. Irani and S. Peleg. Motion analysis for image enhancement: Resolution, occlusion, and transparency. Journal of Visual Communication and Image Representation, 4:324–335, 1993.

    Article  Google Scholar 

  19. M. Irani, B. Rousso, and S. Peleg. Computing occluding and transparent motions. International Journal of Computer Vision, 12(1):5–16, 1994.

    Article  Google Scholar 

  20. R. Koch. 3D surface reconstruction from stereoscopic image sequences. In Proc. 5th International Conference on Computer Vision, Boston, pages 109–114, 1995.

    Google Scholar 

  21. K. Kutulakos and S. Seitz. A theory of shape by space carving. In Proc. 7th International Conference on Computer Vision, Kerkyra, Greece, pages 307–314, 1999.

    Google Scholar 

  22. S. Laveau. Géométrie d’un système de N caméras. Théorie, estimation et applications. PhD thesis, INRIA, 1996.

    Google Scholar 

  23. M. Pollefeys, R. Koch, and L. Van Gool. Self calibration and metric reconstruction in spite of varying and unknown internal camera parameters. In Proc. 6th International Conference on Computer Vision, Bombay, India, pages 90–96, 1998.

    Google Scholar 

  24. W. Press, B. Flannery, S. Teukolsky, and W. Vetterling. Numerical Recipes in C Cambridge University Press, 1988.

    Google Scholar 

  25. P. Pritchett and A. Zisserman. Matching and reconstruction from widely separated views. In R. Koch and L. Van Gool, editors, 3D Structure from Multiple Images of Large-Scale Environments, LNCS 1506, pages 78–92. Springer-Verlag, June 1998.

    Chapter  Google Scholar 

  26. C. Rothwell, A. Zisserman, D. Forsyth, and J. Mundy. Planar object recognition using projective shape representation. International Journal of Computer Vision, 16(2), 1995.

    Google Scholar 

  27. C. Schmid, R. Mohr, and C. Bauckhage. Comparing and evaluating interest points. In Proc. International Conference on Computer Vision, pages 230–235, 1998.

    Google Scholar 

  28. S.M. Seitz and C.R. Dyer. Photorealistic scene reconstruction by voxel coloring. In Proc. IEEE Conference on Computer Vision and Pattern Recognition, Puerto Rico, pages 1067–1073, 1997.

    Google Scholar 

  29. G. Stein and A. Shashua. Model-based brightness constraints: on direct estimation of structure and motion. In Proc. IEEE Conference on Computer Vision and Pattern Recognition, pages 400–406, 1997.

    Google Scholar 

  30. P. Sturm. Vision 3D non calibrée: Contributions à la reconstruction projective et etude des mouvements critiques pour l’auto calibrage. PhD thesis, INRIA Rhône-Alpes, 1997.

    Google Scholar 

  31. P. H. S. Torr, A. W. Fitzgibbon, and A. Zisserman. The problem of degeneracy in structure and motion recovery from uncalibrated image sequences. International Journal of Computer Vision, 32(1):27–44, August 1999.

    Google Scholar 

  32. P. H. S. Torr and D. W. Murray. The development and comparison of robust methods for estimating the fundamental matrix. International Journal of Computer Vision, 24(3):271–300, 1997.

    Article  Google Scholar 

  33. P. H. S. Torr and A. Zisserman. Robust parameterization and computation of the trifocal tensor. Image and Vision Computing, 15:591–605, 1997.

    Article  Google Scholar 

  34. P. H. S. Torr and A. Zisserman. Robust computation and parameterization of multiple view relations. In Proc. 6th International Conference on Computer Vision, Bombay, India, pages 727–732, January 1998.

    Google Scholar 

  35. P. H. S. Torr, A. Zisserman, and S. Maybank. Robust detection of degenerate configurations for the fundamental matrix. Computer Vision and Image Understanding, 71(3):312–333, September 1998.

    Google Scholar 

  36. J. Weber and J. Malik. Rigid body segmentation and shape description from dense optical flow under weak perspective. In Proc. International Conference on Computer Vision, pages 251–256, 1995.

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Microsoft Research Ltd, 1 Guildhall St, Cambridge, CB2 3NH, UK

    P. H. S. Torr

  2. Department of Engineering Science, University of Oxford, Oxford, OX1 3PJ, UK

    A. Zisserman

Authors
  1. P. H. S. Torr
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. A. Zisserman
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. INRIA Rhône-Alpes, 655 avenue de l’Europe, Montbonnot, 38330, France

    Bill Triggs

  2. Department of Engineering Science, Oxford University, 19 Parks Road, OX1 3PJ, UK

    Andrew Zisserman

  3. Microsoft Research, Redmond, WA, 98052-6399, USA

    Richard Szeliski

Rights and permissions

Reprints and permissions

Copyright information

© 2000 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Torr, P.H.S., Zisserman, A. (2000). Feature Based Methods for Structure and Motion Estimation. In: Triggs, B., Zisserman, A., Szeliski, R. (eds) Vision Algorithms: Theory and Practice. IWVA 1999. Lecture Notes in Computer Science, vol 1883. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44480-7_19

Download citation

  • DOI: https://doi.org/10.1007/3-540-44480-7_19

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-67973-8

  • Online ISBN: 978-3-540-44480-0

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics

Search

Navigation