Robust diameter-based thickness estimation of 3D objects

Abstract : 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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Submitted on : Thursday, September 19, 2013 - 1:50:52 PM
Last modification on : Thursday, January 11, 2018 - 5:02:52 PM
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Rolland-Nevière Xavier, Gwenaël Doërr, Pierre Alliez. Robust diameter-based thickness estimation of 3D objects. Graphical Models, Elsevier, 2013, 75 (6), pp.279-296. ⟨10.1016/j.gmod.2013.06.001⟩. ⟨hal-00863689⟩

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