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Trifocal Tensors with Grassmann-Cayley Algebra

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Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1998))

Abstract

In this paper we study trifocal tensors with Grassmann-Cayley algebra. We propose a new method to derive relations among epipoles, fundamental tensors and trifocal tensors of three pinhole cameras. By this method we can find some new constraints satisfied by trifocal tensors.

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References

  1. E. Bayro-Corrochano, J. Lasenby, G. Sommer: Geometric Algebra: a framework for computing point and line correspondences and projective structure using nuncalibrated cameras. In: Proc. of ICPR’96, Vienna, Vol. I, (1996) 334–338.

    Google Scholar 

  2. O. Faugeras, B. Mourrain: On the geometry and algebra of the point and line correspondences between n images. In: Proc. ICCV’95, (1995) 951–956.

    Google Scholar 

  3. O. Faugeras, B. Mourrain: On the geometry and algebra of the point and line correspondences between n images. Technical report 2665, INRIA (1995).

    Google Scholar 

  4. O. Faugeras, T. Papadopoulo: Grassmann-Cayley algebra for modelling systems of cameras and the algebraic equations of the manifold of trifocal tensors. Technical report 3225, INRIA (1997).

    Google Scholar 

  5. O. Faugeras, T. Papadopoulo: A nonlinear method for estimating the projective geometry of three views. In: Proc. ICCV’98 (1998).

    Google Scholar 

  6. R. Hartley: Lines and points in three views-an integrated approach. In: Proc. of ARPA Image Understanding Workshop, Defense Advanced Research Projects Agency, Morgan Kaufmann Publ. Inc. (1994).

    Google Scholar 

  7. D. Hestenes, R. Ziegler: Projective geometry with Clifford algebra. Acta Appl. Math. 23 (1991) 25–63.

    Article  MATH  MathSciNet  Google Scholar 

  8. H. Li and Y. Wu (2000): Outer product factorization in Clifford algebra. Proc. of ATCM’99, Guangzhou, pp. 255–264.

    Google Scholar 

  9. H. Li and G. Sommer (2000): Coordinate-free projective geometry for computer vision. In Geometric Computing with Clifford Algebra, G. Sommer (Ed.), Springer Heidelberg, pp. 415–454.

    Google Scholar 

  10. A. Shashua: Trilinearity in visual recognition by alignment. In: LNCS 800, J.-O. Eklundh (Ed.), Springer, (1994) 479–484.

    Google Scholar 

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© 2001 Springer-Verlag Berlin Heidelberg

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Li, H. (2001). Trifocal Tensors with Grassmann-Cayley Algebra. In: Klette, R., Peleg, S., Sommer, G. (eds) Robot Vision. RobVis 2001. Lecture Notes in Computer Science, vol 1998. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44690-7_29

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  • DOI: https://doi.org/10.1007/3-540-44690-7_29

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-41694-4

  • Online ISBN: 978-3-540-44690-3

  • eBook Packages: Springer Book Archive

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