Abstract
In this paper, we propose a cylinder detection approach based on curvature filtering and normal clustering. We first estimate the curvature of the vertexes on each triangle, reserve these triangles which have the characteristics of a cylinder, then the triangles are clustered by the normal. Then all the triangles are transformed onto a new coordinate system, which the Z axis is parallel to the normal. Finally, the cylinders are detected by the Hough transformation in the 2D plane. The experimental results show that our proposed algorithm has good performance.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Liu, Y.-J., Zhang, J.-B., Hou, J.-C., Ren, J.-C., Tang, W.-Q.: Cylinder Detection in Large-Scale Point Cloud of Pipeline Plant. IEEE Transactions on Visualization and Computer Graphics 19, 1700–1707 (2013)
Yana, D.-M., Wang, W., Liu, Y., Yang, Z.: Variational Mesh Segmentation via Quadric Surface Fitting. Computer-Aided Design 44(11), 1072–1082 (2012)
Xu, S., Mei, X., Geng, J.: Matching method of 3D model based on curvature characteristics of teeth. Computer Engineering and Design 34(8) (2013)
Xu, D.: 3D graphics coordinate transformation between the two kinds of coordinate systems. Journal of XiDian University 23(3) (1996)
Xiao, L., Cai, C., Zhou, C., Ding New, M.: fast algorithm of Hough transform detection of circles. Application Research of Computer 24(10) (2007)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 Springer International Publishing Switzerland
About this paper
Cite this paper
Gao, Y., Wu, L., Mao, Y., Wang, J. (2014). A Curvature Filter and Normal Clustering Based Approach to Detecting Cylinder on 3D Medical Model. In: Ooi, W.T., Snoek, C.G.M., Tan, H.K., Ho, CK., Huet, B., Ngo, CW. (eds) Advances in Multimedia Information Processing – PCM 2014. PCM 2014. Lecture Notes in Computer Science, vol 8879. Springer, Cham. https://doi.org/10.1007/978-3-319-13168-9_23
Download citation
DOI: https://doi.org/10.1007/978-3-319-13168-9_23
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-13167-2
Online ISBN: 978-3-319-13168-9
eBook Packages: Computer ScienceComputer Science (R0)