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Applications of Algebraic Geometry to Computer Vision

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Computational Algebraic Geometry

Part of the book series: Progress in Mathematics ((PM,volume 109))

Abstract

There is an increasing interest in applications of algebraic geometry to computer vision. There are at least three possible reasons for this: i) certain vision problems naturally involve polynomial equations; ii) with the increase in available computing power it is easier to implement algorithms which stay close to the geometry underlying vision; and iii) algebraic geometry may in future provide methods for assessing the stability of algorithms against small perturbations in the data.

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References

  1. Buchanan T. 1992 Critical sets for reconstruction using lines. Proc. 2nd European Conf. on Computer Vision, ECCV92.

    Google Scholar 

  2. Demazure M. 1988 Sur deux problèmes de reconstruction. Technical Report No. 882, INRIA, Rocquencourt, France.

    Google Scholar 

  3. Faugeras O.D. 1990 On the motion of 3D curves and its relationship to optical flow. Proc. 1st European Conf. on Computer Vision, ECCV90, Lecture Notes in Computer Science 427, Springer-Verlag.

    Google Scholar 

  4. Faugeras O.D. Luong Q.-T. & Maybank S.J. 1992 Camera self-calibration: theory and experiments. Proc. 2nd European Conf. on Computer Vision, ECCV92.

    Google Scholar 

  5. Faugeras O.D. & Maybank S.J. 1990 Motion from point matches: multiplicity of solutions. International J. Computer Vision 4, 225–246.

    Article  Google Scholar 

  6. Forsyth D., Mundy J., Zisserman A., Coelho C., Heller A. & Rothwell C. 1991 Invariant descriptors for 3-D object recognition and pose. IEEE Trans. Pattern Analysis and Machine Intelligence 13, 971–991.

    Article  Google Scholar 

  7. Hofmann W. 1950 Das Problem der “Gerfährlichen Flächen„ in Theorie und Praxis. Dissertation, Fakultät für Bauwesen der Technischen Hochschule München, München, FR Germany. Published in Reihe C, No. 3 der Deutschen Geodetischen Kommission bei der Bayerischen Akademie der Wissenschaften, München 1953.

    Google Scholar 

  8. Horn B.K.P. 1986 Robot Vision. Cambridge, Massachusetts: The MIT Press.

    Google Scholar 

  9. Huang T.S. & Faugeras O.D. 1989 Some properties of the E matrix in two view motion estimation. IEEE Trans. Pattern Analysis and Machine Intelligence 11, 1310–1312.

    Article  Google Scholar 

  10. Kruppa E. 1913 Zur Ermittlung eines Objektes zwei Perspektiven mit innere Orientierung. Sitz-Ber. Akad. Wiss., Wien, math. naturw. Kl., Abt. IIa. 122, 1939–1948.

    MATH  Google Scholar 

  11. Liu Y. & Huang T.S. 1988 Estimation of rigid body motion using straight line correspondences. Computer Vision, Graphics, and Image Processing 44, 35–57.

    Article  Google Scholar 

  12. Longuet-Higgins H.C. 1981 A computer algorithm for reconstructing a scene from two projections. Nature 293, 133–135.

    Article  Google Scholar 

  13. Longuet-Higgins H.C. 1988 Multiple interpretations of a pair of images of a surface. Proc. Royal Soc. London, Series B 227, 399–410.

    Article  Google Scholar 

  14. Maybank S.J. 1990 The projective geometry of ambiguous surfaces. Phil. Trans. Royal Soc. London, Series A 332, 1–47.

    Article  MathSciNet  Google Scholar 

  15. Maybank S.J. 1991 The projection of two non-coplanar conics. In Proc. First DARPA-ESPRIT Joint Workshop on Applications of Invariant Theory to Computer Vision, Reykjavik, 25–28 March 1991.

    Google Scholar 

  16. Maybank S.J. & Faugeras O.D. 1992 A theory of self-calibration of a moving camera. Accepted by International J. Computer Vision.

    Google Scholar 

  17. Maybank S.J. 1992 Theory of Reconstruction from Image Motion. Springer-Verlag, to appear.

    Google Scholar 

  18. J. Mundy & A. Zisserman (eds.) 1992 Applications of Invariance in Computer Vision. To appear, MIT Press.

    Google Scholar 

  19. Spetsakis M.E. & Aloimonos J. 1990 Structure from motion using line correspondences. International J. Computer Vision 4, 171–183.

    Article  Google Scholar 

  20. Sturm R. 1869 Das Problem der Projectivität und seine Anwendung auf die Flachen zweiten Grades. Math. Annalen 1, 533–573.

    Article  MATH  MathSciNet  Google Scholar 

  21. Tsai R.Y. & Huang T.S. 1984 Uniqueness and estimation of three-dimensional motion parameters of rigid objects with curved surfaces. IEEE Trans. Pattern Analysis and Machine Intelligence 6, 13–27.

    Article  Google Scholar 

  22. Weng J., Huang T.S. & Ahuja N. 1992 Motion and structure from line correspondences: closed-form solution, uniqueness, and optimization. IEEE Trans. Pattern Analysis and Machine Intelligence 14, 318–336.

    Article  Google Scholar 

  23. Wilczynski E.J. 1906 Projective Differential Geometry of Curves and Surfaces. Leipzig: Teubner.

    MATH  Google Scholar 

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© 1993 Birkhäuser Boston

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Maybank, S.J. (1993). Applications of Algebraic Geometry to Computer Vision. In: Eyssette, F., Galligo, A. (eds) Computational Algebraic Geometry. Progress in Mathematics, vol 109. Birkhäuser, Boston, MA. https://doi.org/10.1007/978-1-4612-2752-6_13

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  • DOI: https://doi.org/10.1007/978-1-4612-2752-6_13

  • Publisher Name: Birkhäuser, Boston, MA

  • Print ISBN: 978-1-4612-7652-4

  • Online ISBN: 978-1-4612-2752-6

  • eBook Packages: Springer Book Archive

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