A dynamic Bayesian network model for autonomous 3d reconstruction from a single indoor image

Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition

Volumn 2, Issue , 2006, Pages 2418-2428

  Delage, Erick ^a   Lee, Honglak ^a   Ng, Andrew Y ^a  

^a Stanford University   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BAYESIAN NETWORKS; INDOOR IMAGES; MONOCULAR VISION;

COMPUTER VISION; GEOMETRY; IMAGE RECONSTRUCTION; INFORMATION RETRIEVAL; OBJECT RECOGNITION;

THREE DIMENSIONAL COMPUTER GRAPHICS;

EID: 33845573635     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2006.23     Document Type: Conference Paper

References (21)

1. R. Cipolla, T. Drummond, and D. Robertson. Camera calibration from vanishing points in images of architectural scenes. In Proc. Tenth British Machine Vision Conference, pages 382-391, 1999.
2. D. Comaniciu and P. Meer. Mean shift: A robust approach toward feature space analysis. IEEE Trans. Pattern Analysis and Machine Intelligence, 24:603-619, 2002.
3. J. M. Coughlan and A. L. Yuille. Manhattan world: Orientation and outlier detection by bayesian inference. Neural Computation, 15(5):1063-1088, 2003.
4. A. Criminisi, I. D. Reid, and A. Zisserman. Single view metrology. Int'l J. Computer Vision, 40(2):123-148, 2000.
5. P. E. Debevec, C. J. Taylor, and J. Malik. Modeling and rendering architecture from photographs: A hybrid geometry-and image-based approach. In Proc. SIGGRAPH, 1996.
6. P. Favaro and S. Soatto. Shape and radiance estimation from the information-divergence of blurred images. In Proc. European Conf. Computer Vision, 2000.
7. F. Han and S.-C. Zhu. Bayesian reconstruction of 3d shapes and scenes from a single image. In Proc. Int'l Workshop on High Level Knowledge in 3D Modeling and Motion, 2003.
8. F. Han and S. C. Zhu. Bottom-up/top-down image parsing by attribute graph grammar. In Int'l Conf. Computer Vision, 2005.
9. D. Hoiem, A. A. Efros, and M. Hebert. Geometric context from a single image. In Int'l Conf. Computer Vision, 2005.
10. F. V. Jensen. Bayesian Networks and Decision Graphs. Springer-Verlag, New York, USA, 2001.
11. A. Kosaka and A. C. Kak. Fast vision-guided mobile robot navigation using model-based reasoning and prediction of uncertainties. Computer Vision, Graphics, and Image Processing: Image Understanding, 56(3):271-329, 1992.
12. D. Martin, C. Fowlkes, and J. Malik. Learning to detect natural image boundaries using brightness and texture. In Neural Information Processing Systems, 2002.
13. J. Michels, A. Saxena, and A. Y. Ng. High speed obstacle avoidance using monocular vision and reinforcement learning. In Proc. Int'l Conf. Machine Learning, 2005.
14. A. Y. Ng and M. Jordan. On discriminative vs. generative classifiers: A comparison of logistic regression and naive bayes. In Neural Information Processing Systems, 2002.
15. A. Saxena, S. H. Chung, and A. Y. Learning depth from single monocular images. In Neural Information Processing Systems, 2005.
16. G. Schindler and F. Dellaert. Atlanta world: An expectation maximization framework for simultaneous low-level edge grouping and camera calibration in complex man-made environments. In Proc. Conf. Computer Vision and Pattern Recognition, pages 203-209, 2004.
17. J. Shi and J. Malik. Normalized cuts and image segmentation. IEEE Trans. Pattern Analysis and Machine Intelligence, 22(8):888-905, 2000.
18. H.-Y. Shum, M. Han, and R. Szeliski. Interactive construction of 3d models from panoramic mosaics. In Proc. IEEE Conf. Computer Vision and Pattern Recognition, pages 427-433, 1998.
19. C. Tomasi and T. Kanade. Shape and motion from image streams under orthography: a factorization method. Int'l J. Computer Vision, 9:137-154, 1992.
20. I. Ulrich and I. R. Nourbakhsh. Appearance-based obstacle detection with monocular color vision. In Proc. 20th Nat'l Conf. Artificial Intelligence (AAAI), pages 866-871, 2000.
21. R. Zhang, P.-S. Tsai, J. E. Cryer, and M. Shah. Shape from shading: A survey. IEEE Trans. Pattern Analysis and Machine Intelligence, 21(8):690-706, 1999.