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Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 7883))

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Abstract

Digital diffusion processes have been introduced to capture information about the neighborhood of points in a digital object. The properties of these processes give information about curvature, about specific symmetries and particular points on the discrete set. The evolution of diffusion is governed by the Laplace-Beltrami operator which presides to the diffusion on the manifold, as for example random walks. In this paper, we will study the discrete Laplacian operator defined on pixels in order to understand the symmetries and extract their intersections. This will lead to the identifications of particular points or information about geometry of a digital set.

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References

  1. Barneva, R.P., Brimkov, V.E., Hauptman, H.A., Natal Jorge, R.M., Tavares, J.M.R.S. (eds.): CompIMAGE 2010. LNCS, vol. 6026. Springer, Heidelberg (2010)

    Google Scholar 

  2. Billingsley, P.: Convergence of probability measures, 2nd edn. Wiley Series in Probability and Statistics: Probability and Statistics. John Wiley & Sons Inc., A Wiley-Interscience Publication, New York (1999)

    Book  MATH  Google Scholar 

  3. Brimkov, V.E., Barneva, R.P.: Digital stars and visibility of digital objects. In: Barneva, et al. (eds.) [1], pp. 11–23

    Google Scholar 

  4. Bronstein, M.M., Bronstein, A.M.: Shape recognition with spectral distances. IEEE Trans. Pattern Anal. Mach. Intell. 33(5), 1065–1071 (2011)

    Article  Google Scholar 

  5. Chladni, E.F.F.: Traité d’acoustique. Chez Courcier (1809)

    Google Scholar 

  6. Fiorio, C., Mercat, C., Rieux, F.: Curvature estimation for discrete curves based on auto-adaptive masks of convolution. In: Barneva, et al. (eds.) [1], pp. 47–59

    Google Scholar 

  7. Gebal, K., Bærentzen, J.A., Aanæs, H., Larsen, R.: Shape Analysis Using the Auto Diffusion Function. In: Konrad, et al. (eds.) [9], pp. 1405–1413

    Google Scholar 

  8. Gordon, C., Webb, D.L., Wolpert, S.: One cannot hear the shape of a drum. Bull. Amer. Math. Soc. (N.S.) 27(1), 134–138 (1992)

    Google Scholar 

  9. Konrad, P., Marc, A., Michael, K. (eds.): Symposium on Graphics Processing. Eurographics Association (2009)

    Google Scholar 

  10. Lévy, B.: Laplace-beltrami eigenfunctions towards an algorithm that ”understands” geometry. In: SMI, p. 13. IEEE Computer Society (2006)

    Google Scholar 

  11. Sun, J., Ovsjanikov, M., Guibas, L.: A Concise and Provably Informative Multi-Scale Signature Based on Heat Diffusion. In: Konrad, et al. (eds.) [9], pp. 1383–1392

    Google Scholar 

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Rieux, F. (2013). Discrete Simulation of a Chladni Experiment. In: Hendriks, C.L.L., Borgefors, G., Strand, R. (eds) Mathematical Morphology and Its Applications to Signal and Image Processing. ISMM 2013. Lecture Notes in Computer Science, vol 7883. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38294-9_42

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  • DOI: https://doi.org/10.1007/978-3-642-38294-9_42

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-38293-2

  • Online ISBN: 978-3-642-38294-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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