A Curvature Filter and Normal Clustering Based Approach to Detecting Cylinder on 3D Medical Model
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.
KeywordsCylinder Detection 3D Model curvature normal
Unable to display preview. Download preview PDF.
- 3.Xu, S., Mei, X., Geng, J.: Matching method of 3D model based on curvature characteristics of teeth. Computer Engineering and Design 34(8) (2013)Google Scholar
- 4.Xu, D.: 3D graphics coordinate transformation between the two kinds of coordinate systems. Journal of XiDian University 23(3) (1996)Google Scholar
- 5.Xiao, L., Cai, C., Zhou, C., Ding New, M.: fast algorithm of Hough transform detection of circles. Application Research of Computer 24(10) (2007)Google Scholar