A new segmentation approach for old fractured pieces

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Abstract

In this paper we propose a method for characterizing the surface of fractured pieces which come from old and complete original objects. Natural fractured pieces are difficult to segment due to the fact that the faces and edges are not well defined. For this reason, standard local feature based approaches are clearly inefficient to make an efficient segmentation. Our segmentation procedure is based on the Cone Curvature (CC) concept applied over the original dense models which provide standard scanner modeling tools. This CC basedmethod allows us to explore the surface from multiple neighborhood levels and to find a compact segmentation solution which characterizes different parts of the piece. A wide experimentation has been carried out on a set of old fractured pieces belonging to the remains of roman sculptures. © 2009 Springer-Verlag Berlin Heidelberg.

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APA

Llanes, J., Adan, A., & Salamanca, S. (2009). A new segmentation approach for old fractured pieces. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5856 LNCS, pp. 161–168). https://doi.org/10.1007/978-3-642-10268-4_19

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