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Stochastic Poisson Surface Reconstruction
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DOI：10.1145/3550454.3555441.png)
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We introduce a statistical extension of the classic Poisson Surface Reconstruction algorithm for recovering shapes from 3D point clouds. Instead of outputting an implicit function, we represent the reconstructed shape as a modified Gaussian Process, which allows us to conduct statistical queries (e.g., the likelihood of a point in space being on the surface or inside a solid). We show that this perspective: improves PSR's integration into the online scanning process, broadens its application realm, and opens t he door to other lines of research such as applying task-specific priors.
Keyword:
surface reconstruction
uncertain geometry processing
Gaussian processes
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