Reconstruction from Internet Photo Collections

Modeling and Organizing Large Scale Internet Photo Collections

Modeling and Recognition of Landmark Image Collections Using Iconic Scene Graphs
Rahul Raguram, Changchang Wu, Jan-Michael Frahm, and Svetlana Lazebnik.
International Journal of Computer Vision (IJCV), 2011.
[paper (pdf)] [webpage]

Building Rome on a Cloudless Day
Jan-Michael Frahm, Pierre Georgel, David Gallup, Tim Johnson, Rahul Raguram, Changchang Wu, Yi-Hung Jen, Enrique Dunn, Brian Clipp, Svetlana Lazebnik, Marc Pollefeys.
European Conference on Computer Vision (ECCV), 2010.
[paper (pdf)] [webpage]

Press: BBC ReeseNews ReadWriteWeb PhysOrg Tech Journal NewsWise

Recent years have seen an explosion in consumer digital photography and a phenomenal growth of community photo-sharing websites. At UNC, we have developed systems for modeling and visualizing landmarks based on large-scale, heavily contaminated image collections gathered from the Internet. Our approach to this problem encompasses image clustering, robust geometric verification, structure from motion and stereo to achieve high computational performance. Our original system was capable of handling datasets containing tens of thousands of images, and we have more recently extended this to be able to process millions of images in a day, on a single PC.