Survey of surface reconstruction from point clouds with Sulzer
Survey of surface reconstruction from point clouds with Sulzer
A Survey and Benchmark of Automatic Surface Reconstruction from Point Clouds
arXiv paper abstract https://arxiv.org/abs/2301.13656
arXiv PDF paper https://arxiv.org/pdf/2301.13656.pdf
... survey and benchmark traditional and novel learning-based algorithms that address the problem of surface reconstruction from point clouds.
... Traditionally, different handcrafted priors of the input points or the output surface have been proposed to make the problem more tractable.
... In contrast to traditional approaches, deep surface reconstruction methods can learn priors directly from a training set of point clouds and corresponding true surfaces.
In ... survey, ... detail how different handcrafted and learned priors affect the robustness of methods to defect-laden input and their capability to generate geometric and topologically accurate reconstructions.
In ... benchmark, ... evaluate the reconstructions of several traditional and learning-based methods on the same grounds.
... show that learning-based methods can generalize to unseen shape categories, but their training and test sets must share the same point cloud characteristics.
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