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Journal Articles Graphical Models Year : 2013

Robust diameter-based thickness estimation of 3D objects


We propose a robust thickness estimation approach for 3D objects based on the Shape Diameter Function (SDF). Our method first applies a modified strategy to estimate the local diameter with increased accuracy. We then compute a scale-dependent robust thickness estimate from a point cloud, constructed using this local diameter estimation and a variant of a robust distance function. The robustness of our method is benchmarked against several operations such as remeshing, geometric noise and artifacts common in triangle soups. The experimental results show a more stable local thickness estimation than the original SDF, and consistent segmentation results on defect-laden inputs.
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Dates and versions

hal-00863689 , version 1 (19-09-2013)



Rolland-Nevière Xavier, Gwenaël Doërr, Pierre Alliez. Robust diameter-based thickness estimation of 3D objects. Graphical Models, 2013, 75 (6), pp.279-296. ⟨10.1016/j.gmod.2013.06.001⟩. ⟨hal-00863689⟩


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