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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. © Springer International Publishing Switzerland 2014.
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ISSN: 0302-9743
年份: 2014
卷: 8879
页码: 221-226
语种: 英文
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