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Multilevel Streaming for Out-of-Core Surface Reconstruction
Matthew Bolitho, Michael Kazhdan  , Randal Burns and Hugues Hoppe
Eurographics Symposium on Geometry Processing 2007, Pages 69-78.
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.
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