Parameters Extraction of Rotational Surface Using a New Method

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Abstract:

The purpose of reverse engineering is to convert a large points cloud into a CAD model. Parameters extraction for rotational surface from measure data is an important problem in reverse engineering. Rotational axis is a crucial parameter of rotational surface. In this paper, random sampling consensus algorithm combined with Least-Squares method is used to extract the rotational axis of rotational surface. Experimental results show effectiveness, robustness and accuracy of this proposed approach.

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610-615

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August 2011

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© 2011 Trans Tech Publications Ltd. All Rights Reserved

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[1] D. R. Shan, Y. L. Ke, Quadric feature extraction from points cloud in reverse engineering, Journal of Computer Aided Design & Computer Graphics, vol. 15, no. 12, pp.1497-1501, (2003).

Google Scholar

[2] Y. H. Chen, C. Y. Liu. Quadric surface extraction using genetic algorithms, Computer Aids Design, vol. 31, pp.101-110, (1999).

DOI: 10.1016/s0010-4485(98)00083-9

Google Scholar

[3] H. Pottmann, T. Randrup. Rotational and Helical Surface Approximation for Reverse Engineering, Computing, vol. 60, pp.307-322, (1998).

DOI: 10.1007/bf02684378

Google Scholar

[4] Y. L. Ke, A. Li, Rotational surface extraction based on principal Gaussian image from point cloud, Journal of Zhejiang University(Engineering Science), vol. 40, no. 6, pp.942-946, (2006).

Google Scholar

[5] M. Fischler, R. Bolles, Random sample consensus: A paradigm for model fitting with applications to image analysis and automated cartography, Graphics and Image Processing, vol. 26, no. 4, pp.381-395, (1981).

DOI: 10.1145/358669.358692

Google Scholar

[6] Z. M. Huangfu, L. H. Yan, and X. M. Liu, Estimating the normal vector and curvature of scattered points cloud with an improved CT algorithm, Machinery Design & Manufacture, vol. 10, pp.25-27, (2007).

Google Scholar

[7] Z. M. Huangfu, L. H. Yan, and X. M. Liu, Segmentation and constraint reconstruction for profile data of extruded surface and rotational surface, Computer Engineering and Design, vol. 30, no. 20, pp.4788-4791, (2009).

Google Scholar