ACM Home Page
Please provide us with feedback. Feedback
Finding paths through the world's photos
Full text FlvFlv (25:52),  MovMov (25:43),  PdfPdf (13.42 MB)
Source
ACM Transactions on Graphics (TOG) archive
Volume 27 ,  Issue 3  (August 2008) table of contents
Proceedings of ACM SIGGRAPH 2008
SESSION: Image collections and video table of contents
Article No. 15  
Year of Publication: 2008
ISSN:0730-0301
Also published in ...
Authors
Noah Snavely  University of Washington
Rahul Garg  University of Washington
Steven M. Seitz  University of Washington
Richard Szeliski  Microsoft Research
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 160,   Downloads (12 Months): 877,   Citation Count: 0
Additional Information:

abstract   references   collaborative colleagues  

Tools and Actions: Request Permissions Request Permissions    Review this Article  
DOI Bookmark: Use this link to bookmark this Article: http://doi.acm.org/10.1145/1360612.1360614
What is a DOI?

ABSTRACT

When a scene is photographed many times by different people, the viewpoints often cluster along certain paths. These paths are largely specific to the scene being photographed, and follow interesting regions and viewpoints. We seek to discover a range of such paths and turn them into controls for image-based rendering. Our approach takes as input a large set of community or personal photos, reconstructs camera viewpoints, and automatically computes orbits, panoramas, canonical views, and optimal paths between views. The scene can then be interactively browsed in 3D using these controls or with six degree-of-freedom free-viewpoint control. As the user browses the scene, nearby views are continuously selected and transformed, using control-adaptive reprojection techniques.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

1
 
2
3
4
5
6
 
7
Drucker, S. M., and Zeltzer, D. 1994. Intelligent camera control in a virtual environment. In Proc. of Graphics Interface, 190--199.
8
 
9
10
 
11
Goesele, M., Snavely, N., Seitz, S. M., Curless, B., and Hoppe, H. 2007. Multi-view stereo for community photo collections. In Proc. Int. Conf. on Computer Vision.
12
 
13
Kanade, T., 2001. Carnegie Mellon goes to the Superbowl. http://www.ri.cmu.edu/events/sb35/tksuperbowl.html.
 
14
Kang, S. B., Sloan, P.-P., and Seitz, S. M. 2000. Visual tunnel analysis for visibility prediction and camera planning. In Proc. IEEE Conf. on Computer Vision and Pattern Recognition, 2195--2202.
15
16
 
17
18
 
19
20
 
21
 
22
Simon, I., Snavely, N., and Seitz, S. M. 2007. Scene summarization for online image collections. In Proc. Int. Conf. on Computer Vision.
23
 
24
Snavely, N., Seitz, S. M., and Szeliski, R. 2008. Skeletal sets for efficient structure from motion. In Proc. Computer Vision and Pattern Recognition (to appear).
 
25
Sutherland, I. E. 1968. A head-mounted three dimensional display. In Proc. Fall Joint Computer Conf., 757--764.
26
 
27
 
28
29
Collaborative Colleagues:
Noah Snavely: colleagues
Rahul Garg: colleagues
Steven M. Seitz: colleagues
Richard Szeliski: colleagues