Skip to main content

A Stereo Algorithm for Flat Objects

  • Chapter
  • 135 Accesses

Abstract

This paper describes a method for determining the attitude of a flat object in the space on the basis of the images taken with two cameras. The algorithm reduces the correspondence problem to the match of the zero-curvature points (that are perspective invariants) on the conjugated epipolar lines. The algorithm can solve the stereo problem even if the ordering constraint is not satisfied (i.e. in the case of an object lying in the so-called “ambiguous” zone). The gained precision is about 99%

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

Buying options

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.Ullman, The Interpretation of Structure from Motion,Proc.R.Soc.LondonB, 203; 405 (1979)

    Article  Google Scholar 

  2. B.K.P.Horn, Obtaining shape from shading information, in: “Psychology of Computer Vision”, P.H.Winstòn ed., McGraw-Hill Pubi. New York (1975).

    Google Scholar 

  3. K.Ikuechi and B.K.P.Horn, Numerical Shape from Shading and Occluding Boundaries,Artificial Intelligence17: 141 (1981)

    Article  Google Scholar 

  4. D.Marr and T.Poggio, A Computational Theory of Human Stereo Vision,Proc.R.Soc.London B.,204: 301 (1979)

    Article  Google Scholar 

  5. W.E.L.Grimson, A Computational Theory of Visual Surface Interpolation,Phil.Trans.R.Soc.London B,298: 395 (1982).

    Article  Google Scholar 

  6. R.D.Arnold and T.O.Binford, Geometric Constraints in Stereo Vision,,Proc. S. P. I. E. San Diego238: 281 (1980).

    Google Scholar 

  7. H.H.Backer and T.O.Binford, Depth from Edge and Intensity Based Stereo, in “Proc.6th Int.Conf.Al.”, Tokyo (1981)

    Google Scholar 

  8. J.E.W.Mayhew and J.P.Frisby, Psychophysical and Computational Studies towards a Theory of Human Stereopsis,Artificial Intelligence16: 349 (1981)

    Article  Google Scholar 

  9. K.Nishihara, PRISM: A Practical Real-time Imaging Stereo Matcher, in: “Intelligence Robots: 3rd Int.Conf. on Robot Vision and Sensory Controls”, Society of Photo-Optical Instrumentation Engineers, Cambridge MA (1983)

    Google Scholar 

  10. O.Faugeras and U.Herbert, A 3-D Recognition and Position Algorithm Using Geometrical Matching Between Primitive Surface, in “Proceedings of the Conference an Artificial Intelligence”, Karlsruhe (1983)

    Google Scholar 

  11. G.Sandini, M.Straforini, V.Torre and A.Verri, 3-D Recon struction of Silhouettes, in: “Proceeding of the Uth Con-ference on Robot Vision and Sensory Controls”, Society of Photo-Optical Instrumentation Engineers, London (1985)

    Google Scholar 

  12. A.Verri, Metodi Matematici per la Visione Stereografica, Ph.D. Thesis, Dept. of Physics, University of Genoa, Italy (1984)

    Google Scholar 

  13. D.Marr and E. C.Hildreth, Theory of Edge Detection,Proc. R.Soc.London B,207: 187 (1 980).

    Article  Google Scholar 

  14. H.Freeman and L.S. Davis, A Corner-Finding Algorithm for Chain-Code Curves,IEEE Transactions, on Computers C-26:297 (1977)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 1986 Plenum Press, New York

About this chapter

Cite this chapter

Masulli, F., Straforini, M., Sandini, G. (1986). A Stereo Algorithm for Flat Objects. In: Cantoni, V., Levialdi, S., Musso, G. (eds) Image Analysis and Processing. Springer, Boston, MA. https://doi.org/10.1007/978-1-4613-2239-9_13

Download citation

  • DOI: https://doi.org/10.1007/978-1-4613-2239-9_13

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-1-4612-9312-5

  • Online ISBN: 978-1-4613-2239-9

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics