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A Curvature Filter and Normal Clustering Based Approach to Detecting Cylinder on 3D Medical Model

  • Yuan Gao
  • Lifang Wu
  • Yuxin Mao
  • Jinqiao Wang
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8879)

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.

Keywords

Cylinder Detection 3D Model curvature normal 

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References

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Yuan Gao
    • 1
  • Lifang Wu
    • 1
  • Yuxin Mao
    • 1
  • Jinqiao Wang
    • 2
  1. 1.School of Electronic Information and Control EngineeringBeijing University of TechnologyBeijingChina
  2. 2.Chinese Academy of Science Institute of AutomationBejingChina

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