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Reconstructing Rome
June 2010 (vol. 43 no. 6)
pp. 40-47
Noah Snavely, Cornell University
Brian Curless, University of Washington
Steven M. Seitz, University of Washington and Google
Richard Szeliski, Microsoft Research
Community photo collections like Flickr offer a rich, ever-growing record of the world around us. New computer vision techniques can use photographs from these collections to rapidly build detailed 3D models.

1. N. Snavely, S.M. Seitz, and R. Szeliski, "Photo Tourism: Exploring Photo Collections in 3D," ACM Trans. Graphics, July 2006, pp. 835-846.
2. D.G. Lowe, "Distinctive Image Features from Scale-Invariant Keypoints," Int'l J. Computer Vision, Nov. 2004, pp. 91-110.
3. S. Agarwal et al., "Building Rome in a Day," Proc. 12th IEEE Int'l Conf. Computer Vision (ICCV 09), 2009; http://grail.cs.washington.edu/romerome_paper.pdf .
4. N. Snavely, S.M. Seitz, and R. Szeliski, "Skeletal Graphs for Efficient Structure from Motion," Proc. 2008 IEEE CS Conf. Computer Vision and Pattern Recognition (CVPR 08), IEEE CS Press, 2008; doi 101109/CVPR.2008.4587678.
5. S.M. Seitz et al., "A Comparison and Evaluation of Multi-View Stereo Reconstruction Algorithms," Proc. 2006 IEEE CS Conf. Computer Vision and Pattern Recognition (CVPR 06), IEEE CS Press, 2006, pp. 519-528.
6. Y. Furukawa et al., "Towards Internet-Scale Multi-View Stereo," Proc. 2010 IEEE CS Conf. Computer Vision and Pattern Recognition (CVPR 10), IEEE CS Press, 2010; www.cs.washington.edu/homes/furukawa/papers cvpr10.pdf.
7. Y. Furukawa and J. Ponce, "Accurate, Dense, and Robust Multi-View Stereopsis," to appear in IEEE Trans. Pattern Analysis and Machine Intelligence, 2010.

Index Terms:
Graphics and multimedia, Computer vision, Internet/Web, Structure from motion, Multi-view stereo, Image matching, 3D modeling
Citation:
Sameer Agarwal, Yasutaka Furukawa, Noah Snavely, Brian Curless, Steven M. Seitz, Richard Szeliski, "Reconstructing Rome," Computer, vol. 43, no. 6, pp. 40-47, June 2010, doi:10.1109/MC.2010.175
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