Abstract
This paper deals with the problem of shape reconstruction from an unorganized and not necessarily uniformly distributed point cloud with outliers. A shape reconstruction method based on a Delaunay filtration called LDA-α-shapes has been introduced in 2010 [1]. This method may be used to reconstruct 2-D or 3-D shapes from a non necessary uniformly distributed point cloud but unfortunately it faces problems when there are outliers. For this reason, a little modification of the LDA-α-shapes definition is proposed in this article to deal with this kind of point clouds. The resulting new algorithm is still simple and efficient.
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Maillot, Y., Presles, B., Debayle, J. (2012). Shape Reconstruction from an Unorganized Point Cloud with Outliers. In: Campilho, A., Kamel, M. (eds) Image Analysis and Recognition. ICIAR 2012. Lecture Notes in Computer Science, vol 7324. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31295-3_31
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DOI: https://doi.org/10.1007/978-3-642-31295-3_31
Publisher Name: Springer, Berlin, Heidelberg
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