Robust repair of polygonal models

By Tao Ju. ACM Transactions on Graphics, 2004

341 citations recorded by the source corpus.

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A Field Model for Repairing 3D Shapes (2016, methodology): “For methods using low-level geometric information, we evaluate the Screened Poisson Surface Reconstruction (SPSR) [18]1 (which is shown to perform better than its original work in [17]) and the PolyMender [16]2.”
SceneNN: A Scene Meshes Dataset with aNNotations (2016, methodology): “Input PolyMender [14] Poisson [15] Figure 8.”
Convolutional neural networks on surfaces via seamless toric covers (2017, methodology): “For this purpose we took 81 teeth from this dataset, converted them to sphere topology using [Ju 2004] and marked each landmark area using a geodesic disk of constant radius.”
A robust hole-filling algorithm for triangular mesh (2007, methodology): “Ju [12] constructed an inside/outside volume using an octree grid and re-constructed the surface by contouring.”