“Geodesics in Heat: A New Approach to Computing Distance Based on Heat Flow” by Crane, Weischedel and Wardetzky

  • ©Keenan Crane, Clarisse Weischedel, and Max Wardetzky

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    Geodesics in Heat: A New Approach to Computing Distance Based on Heat Flow

Session/Category Title: Surfaces & Differential Geometry


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Abstract:


    We introduce the heat method for computing the geodesic distance to a specified subset (e.g., point or curve) of a given domain. The heat method is robust, efficient, and simple to implement since it is based on solving a pair of standard linear elliptic problems. The resulting systems can be prefactored once and subsequently solved in near-linear time. In practice, distance is updated an order of magnitude faster than with state-of-the-art methods, while maintaining a comparable level of accuracy. The method requires only standard differential operators and can hence be applied on a wide variety of domains (grids, triangle meshes, point clouds, etc.). We provide numerical evidence that the method converges to the exact distance in the limit of refinement; we also explore smoothed approximations of distance suitable for applications where greater regularity is required.

References:


    1. Alexa, M. and Wardetzky, M. 2011. Discrete laplacians on general polygonal meshes. ACM Trans. Graph. 30, 4, 102:1–102:10.
    2. Belkin, M., Sun, J., and Wang, Y. 2009a. Constructing laplace operator from point clouds in Rd. In Proceedings of the ACM/SIAM Symposium on Discrete Algorithms (SODA’09).
    3. Belkin, M., Sun, J., and Wang, Y. 2009b. Discrete laplace operator for meshed surfaces. In Proceedings of the ACM/SIAM Symposium on Discrete Algorithms (SODA’09). 1031–1040.
    4. Bommes, D. and Kobbelt, L. 2007. Accurate computation of geodesic distance fields for polygonal curves on triangle meshes. In Proceedings of the Workshop on Vision, Modeling, and Visualization (VMV’07). 151–160.
    5. Botsch, M., Bommes, D., and Kobbelt, L. 2005. Efficient linear system solvers for mesh processing. In Proceedings of the IMA Conference on the Mathematics of Surfaces. Springer, 62–83.
    6. Campen, M. and Kobbelt, L. 2011. Walking on broken mesh: Defect-tolerant geodesic distances and parameterizations. Comput. Graph. Forum 30, 2, 623–632.
    7. Chebotarev, P. 2011. The walk distances in graphs. ArXiv e-prints.
    8. Chen, Y., Davis, T. A., Hager, W. W., and Rajamanickam, S. 2008. Algorithm 887: CHOLMOD, supernodal sparse cholesky factorization and update/downdate. ACM Trans. Math. Softw. 35, 3.
    9. Coifman, R. R. and Lafon, S. 2006. Diffusion maps. Appl. Comput. Harmon. Anal. 21, 5–30.
    10. Desbrun, M., Kanso, E., and Tong, Y. 2008. Discrete differential forms for computational modeling. In Discrete Differential Geometry. Oberwolfach Seminars, vol. 38. Birkhauser, 287–324.
    11. Fouss, F., Pirotte, A., Renders, J.-M., and Saerens, M. 2007. Random-walk computation of similarities between nodes of a graph with application to collaborative recommendation. IEEE Trans. Knowl. Data Engin. 19, 3, 355–369.
    12. Hildebrandt, K. and Polthier, K. 2011. On approximation of the laplace-beltrami operator and the willmore energy of surfaces. Comput. Graph. Forum 30, 5, 1513–1520.
    13. Hysing, S. and Turek, S. 2005. The eikonal equation: Numerical efficiency vs. algorithmic complexity. In Proceedings of the Algoritmy Conference. 22–31.
    14. Jiang, G. and Peng, D. 1997. Weighted eno schemes for hamilton-jacobi equations. SIAM J. Sci. Comput. 21, 2126–2143.
    15. Kimmel, R. and Sethian, J. A. 1998. Fast marching methods on triangulated domains. Proc. Nat. Acad. Sci. 95, 8341–8435.
    16. Lipman, Y., Rustamov, R. M., and Funkhouser, T. A. 2010. Biharmonic distance. ACM Trans. Graph. 29, 3.
    17. Liu, Y., Prabhakaran, B., and Guo, X. 2012. Point-based manifold harmonics. IEEE Trans. Vis. Comput. Graph. 18, 10, 1693–1703.
    18. Luo, C., Safa, I., and Wang, Y. 2009. Approximating gradients for meshes and point clouds via diffusion metric. Comput. Graph. Forum 28, 5, 1497–1508.
    19. Macneal, R. 1949. The solution of partial differential equations by means of electrical networks. Ph.D. dissertation, Caltech.
    20. Memoli, F. and Sapiro, G. 2001. Fast computation of weighted distance functions and geodesics on implicit hyper-surfaces. J. Comput. Phys. 173, 730–764.
    21. Memoli, F. and Sapiro, G. 2005. Distance functions and geodesics on submanifolds of ℝd and point clouds. SIAM J. Appl. Math. 65, 4.
    22. Mitchell, J., Mount, D., and Papadimitriou, C. 1987. The discrete geodesic problem. SIAM J. Comput. 16, 4, 647–668.
    23. Nealen, A. 2004. An as-short-as-possible introduction to the mls method for scattered data approximation and interpolation. Tech. rep. http://www.nealen.net/projects/mls/asapmls.pdf.
    24. Neel, R. and Stroock, D. 2004. Analysis of the cut locus via the heat kernel. Surv. Differen. Geom. 9, 337–349.
    25. Norris, J. 1997. Heat kernel asymptotics and the distance function in lipschitz Riemannian manifolds. Acta Math. 179, 1, 79–103.
    26. Peyre, G. and Cohen, L. D. 2005. Geodesic computations for fast and accurate surface remeshing and parameterization. In Programs in Nonlinear Differential Equations and Their Applications. Vol. 63. Springer, 157–171.
    27. Rangarajan, A. and Gurumoorthy, K. 2011. A fast eikonal equation solver using the schrodinger wave equation. Tech. rep. REP-2011-512, CISE, University of Florida.
    28. Rustamov, R., Lipman, Y., and Funkhouser, T. 2009. Interior distance using barycentric coordinates. Comput. Graph. Foru, 28, 5.
    29. Schmitz, P. G. and Ying, L. 2012. A fast direct solver for elliptic problems on general meshes in 2d. J. Comput. Phys. 231, 4.
    30. Schwarz, G. 1995. Hodge Decomposition: A Method for Solving Boundary Value Problems. Springer.
    31. Sethian, J. A. 1996. Level Set Methods and Fast Marching Methods: Evolving Interfaces in Computational Geometry, Fluid Mechanics, Computer Vision and Materials Science. Cambridge University Press.
    32. Spielman, D. A. and Teng, S.-H. 2004. Nearly-linear time algorithms for graph partitioning, graph sparsification, and solving linear systems. In Proceedings of the ACM Symposium on Theory of Computation (STOC’04). ACM Press, New York, 81–90.
    33. Surazhsky, V., Surazhsky, T., Kirsanov, D., Gortler, S. J., and Hoppe, H. 2005. Fast exact and approximate geodesics on meshes. ACM Trans. Graph. 24, 3, 553–560.
    34. Varadhan, S. R. S. 1967. On the behavior of the fundamental solution of the heat equation with variable coefficients. Comm. Pure Appl. Math. 20, 2, 431–455.
    35. Villa, E. 2006. Methods of geometric measure theory in stochastic geometry. Ph.D. dissertation, Universita degli Studi di Milano.
    36. Von Renesse, M.-K. 2004. Heat kernel comparison on alexandrov spaces with curvature bounded below. Potent. Anal. 21, 2.
    37. Weber, O., Devir, Y. S., Bronstein, A. M., Bronstein, M. M., and Kimmel, R. 2008. Parallel algorithms for approximation of distance maps on parametric surfaces. ACM Trans. Graph. 27, 4.

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