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invited-talk

Estimating Discrete Total Curvature with Per Triangle Normal Variation

Published: 07 August 2023 Publication History

Abstract

We introduce a novel approach for measuring the total curvature at every triangle of a discrete surface. This method takes advantage of the relationship between per triangle total curvature and the Dirichlet energy of the Gauss map. This new tool can be used on both triangle meshes and point clouds and has numerous applications. In this study, we demonstrate the effectiveness of our technique by using it for feature-aware mesh decimation, and show that it outperforms existing curvature-estimation methods from popular libraries such as Meshlab, Trimesh2, and Libigl. When estimating curvature on point clouds, our method outperforms popular libraries PCL and CGAL.

Supplementary Material

Appendix (Appendix.pdf)
This is the updated version of my Appendix, please use this one. (Talk36_appendix.pdf)
need to update the Appendix again, please use the most recent version (Talk36_appendix_new.pdf)
MP4 File (gensub_297_VOD.mp4)
presentation

References

[1]
Mikhail Belkin, Jian Sun, and Yusu Wang. 2008. Discrete Laplace operator on meshed surfaces. In Proceedings of the twenty-fourth annual symposium on Computational geometry. 278–287.
[2]
Quentin Mérigot, Maks Ovsjanikov, and Leonidas J Guibas. 2010. Voronoi-based curvature and feature estimation from point clouds. IEEE Transactions on Visualization and Computer Graphics 17, 6 (2010), 743–756.
[3]
Daniele Panozzo, Enrico Puppo, and Luigi Rocca. 2010. Efficient multi-scale curvature and crease estimation. Proceedings of Computer Graphics, Computer Vision and Mathematics (Brno, Czech Rapubic 1, 6 (2010).
[4]
Szymon Rusinkiewicz. 2004. Estimating curvatures and their derivatives on triangle meshes. In Proceedings. 2nd International Symposium on 3D Data Processing, Visualization and Transmission, 2004. 3DPVT 2004. IEEE, 486–493.
[5]
Gabriel Taubin. 1995. Estimating the tensor of curvature of a surface from a polyhedral approximation. In Proceedings of IEEE International Conference on Computer Vision. IEEE, 902–907.
[6]
Max Wardetzky, Miklós Bergou, David Harmon, Denis Zorin, and Eitan Grinspun. 2007. Discrete quadratic curvature energies. Computer Aided Geometric Design 24, 8-9 (2007), 499–518.

Cited By

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  • (2024)A feature-preserving simplification method for dense point clouds based on voxel priority filteringMeasurement Science and Technology10.1088/1361-6501/ad950eOnline publication date: 20-Nov-2024

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      cover image ACM Conferences
      SIGGRAPH '23: ACM SIGGRAPH 2023 Talks
      August 2023
      147 pages
      ISBN:9798400701436
      DOI:10.1145/3587421
      Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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      Published: 07 August 2023

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      • (2024)A feature-preserving simplification method for dense point clouds based on voxel priority filteringMeasurement Science and Technology10.1088/1361-6501/ad950eOnline publication date: 20-Nov-2024

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