4D Cities
Unlocking the Urban Photographic Record through 4D Scene Understanding

There is a growing need for novel ways to access the exponentially growing archives of historical imagery. It is imperative to go beyond cataloging, indexing, and keyword driven databases, to a paradigm where the computer at least partially understands the content of images. Pushing the state of the art in scene understanding and 3D modeling will enable radical new ways to view and experience historical and/or temporally varying imagery. The research described here aims at building time-varying 3D models that can serve to pull together large collections of images pertaining to the appearance, evolution, and events surrounding one place or artifact over time, as exemplified by the 4D Cities project: the completely automatic construction of a 4D database showing the evolution over time of a single city.
To learn more, check out the videos and slides from our CVPR 2010 talk, "Probabilistic Temporal Inference on Reconstructed 3D Scenes" below:
![]() Lower Manhattan: 3D Point Cloud and Buildings (7MB) |
![]() Lower Manhattan: 3D Point Cloud Over Time (15MB) |
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Related Papers
Journal of Multimedia
2012
4D Cities: Analyzing Visualizing and Interacting with Historical Urban Photo Collections,
, Journal of Multimedia, (2012)
CVPR
2010
CVPR
2008
CVPR
2007
SIGGRAPH '07: ACM SIGGRAPH 2007 posters
2007
4D view synthesis: navigating through time and space,
, SIGGRAPH '07: ACM SIGGRAPH 2007 posters, p.194, (2007)
3DPVT
2006
3DPVT
2006
Automatic Acquisition of 4D urban Models and Proactive Auditory Service for Enhanced User Experience
Young Investigators Forum in culture and Technology
2006
Automatic Acquisition of 4D urban Models and Proactive Auditory Service for Enhanced User Experience,
, Young Investigators Forum in culture and Technology, (2006)