Abstract
The reconstruction of a surface model from a point cloud is an important task in the reverse engineering of industrial parts. We aim at constructing a curve network on the point cloud that will define the border of the various surface patches. In this paper, we present an algorithm to extract closed sharp feature lines, which is necessary to create such a closed curve network. We use a first order segmentation to extract candidate feature points and process them as a graph to recover the sharp feature lines. To this end, a minimum spanning tree is constructed and afterwards a reconnection procedure closes the lines. The algorithm is fast and gives good results for real-world point sets from industrial applications.
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Demarsin, K., Vanderstraeten, D., Volodine, T., Roose, D. (2006). Detection of Closed Sharp Feature Lines in Point Clouds for Reverse Engineering Applications. In: Kim, MS., Shimada, K. (eds) Geometric Modeling and Processing - GMP 2006. GMP 2006. Lecture Notes in Computer Science, vol 4077. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11802914_42
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DOI: https://doi.org/10.1007/11802914_42
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-36711-6
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