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CVPR
2010
IEEE

Probabilistic Temporal Inference on Reconstructed 3D Scenes

14 years 8 months ago
Probabilistic Temporal Inference on Reconstructed 3D Scenes
Modern structure from motion techniques are capable of building city-scale 3D reconstructions from large image collections, but have mostly ignored the problem of largescale structural changes over time. We present a general framework for estimating temporal variables in structure from motion problems, including an unknown date for each camera and an unknown time interval for each structural element. Given a collection of images with mostly unknown or uncertain dates, we use this framework to automatically recover the dates of all images by reasoning probabilistically about the visibility and existence of objects in the scene. We present results on a collection of over 100 historical images of a city taken over decades of time.
Grant Schindler, Frank Dellaert
Added 08 Apr 2010
Updated 14 May 2010
Type Conference
Year 2010
Where CVPR
Authors Grant Schindler, Frank Dellaert
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