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• W2168763025 abstract "Reconstruction of surfaces from huge collections of scanned points often requires out-of-core techniques, and most such techniques involve local computations that are not resilient to data errors. We show that a Poisson-based reconstruction scheme, which considers all points in a global analysis, can be performed efficiently in limited memory using a streaming framework. Specifically, we introduce a multilevel streaming representation, which enables efficient traversal of a sparse octree by concurrently advancing through multiple streams, one per octree level. Remarkably, for our reconstruction application, a sufficiently accurate solution to the global linear system is obtained using a single iteration of cascadic multigrid, which can be evaluated within a single multi-stream pass. We demonstrate scalable performance on several large datasets." @default.
• W2168763025 created "2016-06-24" @default.
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• W2168763025 date "2007-07-04" @default.
• W2168763025 modified "2023-10-02" @default.
• W2168763025 title "Multilevel streaming for out-of-core surface reconstruction" @default.
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• W2168763025 doi "https://doi.org/10.5555/1281991.1282001" @default.
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