Abstract
In this paper we present a recursive least squares technique for extracting the breaking curve of a 3D range open surface. Unlike differential operators-based methods, the algorithm we propose is robust to noise and is applied to unorganized point sets. No assumptions such as smoothness and/or continuity on the boundary’s shape are performed. The method we present deals with large amount of data under a low computational cost, since no local computation is performed. A global approach is given to the technique in order to make it more robust, faster and simpler than individual point plus neighbours approaches.
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Orriols, X., Binefa, X. (2003). Finding Breaking Curves in 3D Surfaces. In: Perales, F.J., Campilho, A.J.C., de la Blanca, N.P., Sanfeliu, A. (eds) Pattern Recognition and Image Analysis. IbPRIA 2003. Lecture Notes in Computer Science, vol 2652. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-44871-6_79
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DOI: https://doi.org/10.1007/978-3-540-44871-6_79
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