The manhattan world assumption: Regularities in scene statistics which enable Bayesian inference

Advances in Neural Information Processing Systems

Volumn , Issue , 2001, Pages

  Coughlan, James M ^a   Yuille, A L ^a  

^a SMITH KETTLEWELL EYE RESEARCH INSTITUTE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

INFERENCE ENGINES; PROBABILITY DISTRIBUTIONS;

BAYESIAN INFERENCE; BAYESIAN MODEL; IMAGE GRADIENTS; MANHATTAN WORLD ASSUMPTION; MANHATTAN WORLDS; SCENE STATISTICS; SCENE STRUCTURE; STRUCTURED ENVIRONMENT;

BAYESIAN NETWORKS;

EID: 84898953231     PISSN: 10495258     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (7)

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2. J. Coughlan and A.L. Yuille. "Manhattan World: Compass Direction from a Single Image by Bayesian Inference". Proceedings International Conference on Computer Vision ICCV'99. Corfu, Greece. 1999.
3. J. Coughlan and A.L. Yuille. "Manhattan World: Orientation and Outlier Detection by Bayesian Inference." Submitted to International Journal of Computer Vision. 2000.
4. J. Huang and D. Mumford. "Statistics of Natural Images and Models". In Proceedings Computer Vision and Pattern Recognition CVPR'99. Fort Collins, Colorado. 1999.
5. S. Konishi, A. L. Yuille, J. M. Coughlan, and S. C. Zhu. "Fundamental Bounds on Edge Detection: An Information Theoretic Evaluation of Different Edge Cues." Proc. Int'l conf. on Computer Vision and Pattern Recognition, 1999.
6. E. Lutton, H. Maitre, and J. Lopez-Krahe. "Contribution to the determination of vanishing points using Hough transform". IEEE Trans. on Pattern Analysis and Machine Intelligence. 16(4). pp 430-438. 1994.
7. S. C. Zhu, A. Lanterman, and M. I. Miller. "Clutter Modeling and Performance Analysis in Automatic Target Recognition". In Proceedings Workshop on Detection and Classification of Difficult Targets. Redstone Arsenal, Alabama. 1998.