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Mesh Segmentation with Concavity-Aware Fields

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5 Author(s)
Oscar Kin-Chung Au ; The City University of Hong Kong, Hong Kong ; Youyi Zheng ; Menglin Chen ; Pengfei Xu
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This paper presents a simple and efficient automatic mesh segmentation algorithm that solely exploits the shape concavity information. The method locates concave creases and seams using a set of concavity-sensitive scalar fields. These fields are computed by solving a Laplacian system with a novel concavity-sensitive weighting scheme. Isolines sampled from the concavity-aware fields naturally gather at concave seams, serving as good cutting boundary candidates. In addition, the fields provide sufficient information allowing efficient evaluation of the candidate cuts. We perform a summarization of all field gradient magnitudes to define a score for each isoline and employ a score-based greedy algorithm to select the best cuts. Extensive experiments and quantitative analysis have shown that the quality of our segmentations are better than or comparable with existing state-of-the-art more complex approaches.

Published in:

IEEE Transactions on Visualization and Computer Graphics  (Volume:18 ,  Issue: 7 )