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Photo Uncrop
Qi Shan1, Brian Curless1, Yasutaka Furukawa2, Carlos Hernandez3, and Steven M. Seitz1, 3
1University of Washington, Seattle, WA, USA
2Washington University in St. Louis, St. Louis, MO, USA
3Google Inc., Mountain View, CA, USA
Abstract. We address the problem of extending the field of view of a photo—an operation we call uncrop. Given a reference photograph to be uncropped, our approach selects, reprojects, and composites a subset of Internet imagery taken near the reference into a larger image around the reference using the underlying scene geometry. The proposed Markov Random Field based approach is capable of handling large Internet photo collections with arbitrary viewpoints, dramatic appearance variation, and complicated scene layout. We show results that are visually compelling on a wide range of real-world landmarks.
Keywords: Computational photography, image based rendering
LNCS 8694, p. 16 ff.
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© Springer International Publishing Switzerland 2014