Abstract
A method of boundary estimation from 3D scattered point data has been proposed. For estimating a boundary, the implicit function-based method and the Delaunay tetrahedralization are mainly used in the proposed method. An advantage of the proposed method is that point coordinates are only required as input data. Namely, normals on each of given points are not required as input data. Instead, the point normals are estimated three times. After each procedure for estimating point normals, the accuracy of the estimated normals may be better. Therefore, the geometric structure of a surface generated with the estimated normals is gradually closer to the original surface. Numerical experiments demonstrate that the proposed method enables to estimate an expected boundary without normals as input data. In addition, the performance of the proposed method is numerically investigated. The estimated boundary can be obtained as an implicit surface or as a set of triangles.
Graphical abstract
Similar content being viewed by others
References
Belytschko T, Lu YY, Gu L (1994) Element-free Galerkin methods. Int J Numer Methods Eng 37:229–256
Bloomenthal J (1988) Polygonization of implicit surfaces. Comput Aided Geom Design 5(4):341–355
Brebbia CA, Dominguez J (1992) Boundary elements: an introductory course, 2nd edn. WIT Press, McGraw-Hill
Chati MK, Mukherjee S (2000) The boundary node method for three-dimensional problems in potential theory. Int J Numer Methods Eng 47:1523–1547
George A, Liu JWH (1981) Computer solution of large sparse positive definite systems. Prentice-Hall Inc., Englewood Cliffs
Gumhold S, Wang X, Macleod R (2001) Feature extraction from point clouds. In: Proceedings of the 10th international meshing roundtable. Newport Beach, California, pp 293–305
Hoppe H, DeRose T, Duchamp T, McDonald J, Stuetzle W (1992) Surface reconstruction from unorganized points. In: Proceedings of ACM SIGGRAPH 92. Chicago, pp 71–78
Itoh T (2009) A method of boundary estimation from 3D scattered point data without normals by implicit function and Delaunay tetrahedralization. In: Proceedings of Asia simulation conference 2009 (CD-ROM), Paper ID: 064, Kusatsu
Itoh T, Saitoh A, Kamitani A, Nakamura H (2010) Three dimensional extended boundary node method to potential problem. Plasma Fusion Res 5:S2111
Liu GR (2009) Meshfree methods: moving beyond the finite element method, 2nd edn. CRC Press LLC, Boca Raton
Ohtake Y, Belyaev A, Alexa M, Turk G, Seidel HP (2003) Multi-level partition of unity implicits. ACM Trans Graph 22(3):463–470
Otsu N (1980) An automatic threshold selection method based on discriminant and least squares criteria (in Japanese). IEICEJ J63-D(4):349–356
Taniguchi T, Moriwaki K (2006) Automatic mesh generation for 3D FEM—robust Delaunay triangulation (in Japanese). Morikita, Tokyo
Tobor I, Reuter P, Schlick C (2004) Efficient reconstruction of large scattered geometric datasets using the partition of unity and radial basis functions. WSCG 12(3):467–474
Turk G, O’Brien JF (2002) Modelling with implicit surfaces that interpolate. ACM Trans Graph 21(4):855–873
Wendland H (1995) Piecewise polynomial, positive definite and compactly supported radial basis functions of minimal degree. Adv Comput Math 4(4):389–396
Yamashita Y, Moriwaki K, Taniguchi T (2001) Surface generation of arbitrary 3-dimensional domain by using nodes on its surface (in Japanese). Transactions of JSCES 2001(20010032). http://www.jstage.jst.go.jp/article/jsces/2001/0/2001_20010032/_article/-char/ja/
Acknowledgments
We would like to thank the Computer Graphics Laboratory of Ritsumeikan University for the Rits Bunny model. We would also like to thank the Stanford 3D Scanning Repository for the Stanford Bunny model and for the David model. This work was supported by KAKENHI (No. 20700098 and No. 22360042).
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Itoh, T. A method of boundary estimation from 3D scattered point data without normals by implicit function and Delaunay tetrahedralization. J Vis 14, 381–391 (2011). https://doi.org/10.1007/s12650-011-0088-8
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s12650-011-0088-8