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Isophotes: the key to tractable local shading analysis

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Computer Analysis of Images and Patterns (CAIP 1995)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 970))

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Abstract

When studying the formation of intensity image of an opaque surface, a natural question arises: how does the local surface structure project on the local image structure? We consider this question for the case of a single and monocular intensity image. In this paper, we discuss the the general problem of local shading analysis (LSA) of an arbitrary C 2 surface. We reformulate the problem so that it is well tractable without any restrictive assumptions about the surface. We also contribute to the discussion about the LSA ambiguity problem by identifying image structures where the local surface interpretation may only change.

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References

  1. J. Arnspang. Direct shape measures from shading and impossible shaded images. In Proc. 7nd SCIA, pages 40–47, August 1991.

    Google Scholar 

  2. J. Arnspang. On the use of time varying shading and surface rim irradiance. Pattern Recognition Letters, 12:203–210, April 1991.

    Google Scholar 

  3. P. P. Ferrie and M. D. Levine. Where and why local shading analysis works. IEEE Trans. PAMI, 11(2):198–206, February 1989.

    Google Scholar 

  4. L. M. J. Florack, B. M. H. Romeny, J. J. Koenderink, and M. A. Viergever. General intensity transformations and second order invariants. In Proc. 7nd SCIA, pages 338–345, August 1991.

    Google Scholar 

  5. K. Ikeuchi and B. K. P. Horn. Numerical shape from shading and occluding boundaries. Artificial Intelligence, 17:141–184, 1981.

    Google Scholar 

  6. J. J. Koenderink. Solid Shape. The M.I.T. Press, 1990.

    Google Scholar 

  7. J. J. Koenderink and A. J. van Doorn. Photometric invariants related to solid shape. Optica Acta, 27(7):981–996, 1980.

    Google Scholar 

  8. Ch.-H. Lee and A. Rosenfeld. Improved methods of estimating shape from shading using the light source coordinate system. Artificial Intelligence, 26:125–143, 1985.

    Google Scholar 

  9. S. K. Nayar, K. Ikeuchi, and T. Kanade. Shape from interreflections. Int. Journal of Computer Vision, 6(3):173–195, 1991.

    Google Scholar 

  10. J. Oliensis. New results in shape from shading. In Proc. Image Understanding Workshop, pages 145–153, September 1990.

    Google Scholar 

  11. A. P. Pentland. Local shading analysis. IEEE Trans. PAMI, 6(2):170–187, 1984.

    Google Scholar 

  12. B. M. ter Haar Romeny, L. M. J. Florack, A. H. Salden, and M. A. Viergever. Higher order differential structure of images. Image and Vision Computing, 12(6):317–325, July/August 1994.

    Google Scholar 

  13. R. Šára. Local Shading Analysis via Isophotes Properties. PhD thesis, Johannes Kepler University Linz, Dept. of System Sciences, March 1994.

    Google Scholar 

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Václav Hlaváč Radim Šára

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© 1995 Springer-Verlag Berlin Heidelberg

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Šára, R. (1995). Isophotes: the key to tractable local shading analysis. In: Hlaváč, V., Šára, R. (eds) Computer Analysis of Images and Patterns. CAIP 1995. Lecture Notes in Computer Science, vol 970. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-60268-2_324

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  • DOI: https://doi.org/10.1007/3-540-60268-2_324

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-60268-2

  • Online ISBN: 978-3-540-44781-8

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