Abstract
An approach to segmentation of a 3D mesh is proposed. It employs mean-shift curvature to cluster vertices of the mesh. A region-growing scheme is then established for collecting them into connected subgraphs. The mesh faces consisting of vertices in the same subgraph constitute a patch while faces whose vertices are in different subgraphs are split and then lined out to near patches to complete the segmentation. To produce pleasing results, several ingredients are introduced into the segmentation pipeline. Firstly, we enhance the original model before mean-shifting and then transfer the curvature of the enhanced mesh to the original one in order to make the features distinguishable. To rectify the segmentation boundaries, the min-cut algorithm is used to repartition regions around boundaries. We also detect sharp features.
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Zhang, X., Li, G., Xiong, Y., He, F. (2008). 3D Mesh Segmentation Using Mean-Shifted Curvature. In: Chen, F., Jüttler, B. (eds) Advances in Geometric Modeling and Processing. GMP 2008. Lecture Notes in Computer Science, vol 4975. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-79246-8_35
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DOI: https://doi.org/10.1007/978-3-540-79246-8_35
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-79245-1
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