Research of Automatic Positioning Technology for Dental Crowns Design

Article Preview

Abstract:

A novel method to automatically position the standard dental crown for the design of dental crowns is proposed. We use margin feature points to fit a plane, and the path of insertion is just a line perpendicular to the fitting plane, as well as through the centroid of the margin feature points. Besides, we can get the information of the matching points, one on the standard crown model and the other on the neighboring tooth model. According to these, the positioning datum is constructed. Finally through a series of three-dimensional transformation, automatic positioning of the standard dental crown can be implemented rapidly.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

953-956

Citation:

Online since:

November 2010

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2010 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] A. Gahleitner, B. Podesser, S. Schick, G. Watzek and H. Imhof: European Journal of Radiology, Vol. 51(2004) No. 3, pp.305-308.

Google Scholar

[2] S.M. Yamany, A.A. Farag, D. Tasman and A.G. Farman: IEEE Transactions on Medical Imaging, Vol. 19 (2000) No. 5, p.538–547.

DOI: 10.1109/42.870264

Google Scholar

[3] T. Funkhouser, M. Kazhdan, P. Shilane, P. Min, W. Kiefer, A. Tal, S. Rusinkiewicz and D. Dobkin: ACM Transaction on Graphic, Vol. 23 (2004 ) No. 3, pp.652-663.

DOI: 10.1145/1015706.1015775

Google Scholar

[4] M. Cohen: Everything by Example. Keynote Talk at Chinagraghics, (2000).

Google Scholar

[5] T. Hassner, L. Zelnik-Manor, G. Leifman and R. Basri: Proc. Proceedings of the International Conference on Shape Modeling and Applications 2005(Cambridge, Massachusetts, U. S, June 3 - 17, 2005), Vol. 1, pp.72-81.

DOI: 10.1109/smi.2005.31

Google Scholar

[6] H. Fu, O.K.C. Au and C.L. Tai: The Visual Computer, Vol. 26 (2007) No. 1, pp.34-45.

Google Scholar

[7] C .H. Wang, H. Tanahashi, H. Hirayu, Y. Niwa and K. Yamamoto: Proc. IEEE Computer Society Conference on Computer Vision and Pattern Recognition(Kauai, Hawaii, U. S, December 8-14, 2001), Vol. 1, pp.657-663.

DOI: 10.1109/cvpr.2001.990538

Google Scholar