Parsing images of architectural scenes

Proceedings of the IEEE International Conference on Computer Vision

Volumn , Issue , 2007, Pages

  Berg, Alexander C ^a,c   Grabler, Floraine ^b,c   Malik, Jitendra ^c  

^a YAHOO RESEARCH   (United States)

^b ETH ZURICH   (Switzerland)

^c UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; COMPUTER NETWORKS; COMPUTER VISION; IMAGE PROCESSING;

ARCHITECTURAL SCENES; INTERNATIONAL CONFERENCES;

BUILDINGS;

EID: 50949127068     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCV.2007.4409091     Document Type: Conference Paper

References (18)

1. http://arglist.com.
2. http://bigphoto.com.
3. http://www.cs.berkeley.edu/~aberg/iccv07.
4. J. M. Coughlan and A. L. Yuille. The manhattan world assumption: Regularities in scene statistics which enable bayesian inference. In NIPS, pages 845-851, 2000.
5. A. Criminisi, I. Reid, and A. Zisserman. Single view metrology. In IJCV 40, 2000.
6. P. E. Debevec, C. J. Taylor, and J. Malik. Modeling and rendering architecture from photographs: A hybrid geometry- and image-based approach. Computer Graphics, 30, 1996.
7. F. Han and S. Zhu. Bayesian reconstruction of 3d shapes and scenes from a single image. In Workshop on Higher Level Knowl. in 3D, Nice, 2003.
8. F. Han and S. Zhu. Bottom-up/top-down image parsing by attribute graph grammar. In ICCV, 2005.
9. D. Hoiem, A. Efros, and M. Hebert. Automatic photo pop-up. In SIGGRAPH, 2005.
10. D. Hoiem, A. Efros, and M. Hebert. Geometric context from a single image. In ICCV, 2005.
11. D. Hoiem, A. Efros, and M. Hebert. Putting objects in perspective. In cvpr, 2006.
12. Z. Kim and R. Nevatia. Automatic description of complex buildings from multuiple images. Computer Vision and Image Understanding, 96, no. 1, 2004.
13. S. Kumar and M. Hebert. Discriminative random fields: A discriminative framework for contextual interaction in classification. In ICCV, 2003.
14. J. Lafferty, A. McCallum, and F. Pereira. Conditional random fields: Probabilistic models for segmenting and labeling sequence data. In International Conference on Machine Learning, 2001.
15. S. C. Lee and R. Nevatia. Extraction and integration of window in a 3d building model from ground view images. In Computer Vision and Pattern Recognition, 2004.
16. E. Levina and B. P. The earth mover's distance is the mallows distance: some insights from statistics. In NIPS, November 2001.
17. A. Torralba, K. P. Murphy, and W. T. Freeman. Contextual models for object detection using boosted random fields. In NIPS, November 2005.
18. Z. Tu, X. Chen, A. Yuille, and S. Zhu. Image parsing: unifying segmentation, detection, and recognition. In IJCV 63, 2005.