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Summary: Towards Internet-scale Multi-view Stereo
Yasutaka Furukawa1
Brian Curless2
Steven M. Seitz1,2
Richard Szeliski3
1
Google Inc. 2
University of Washington 3
Microsoft Research
Abstract
This paper introduces an approach for enabling exist-
ing multi-view stereo methods to operate on extremely large
unstructured photo collections. The main idea is to decom-
pose the collection into a set of overlapping sets of photos
that can be processed in parallel, and to merge the result-
ing reconstructions. This overlapping clustering problem
is formulated as a constrained optimization and solved it-
eratively. The merging algorithm, designed to be parallel
and out-of-core, incorporates robust filtering steps to elim-
inate low-quality reconstructions and enforce global visi-
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