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Filters: Author is James Coughlan [Clear All Filters]
Finding deformable shapes using loopy belief propagation. In Computer Vision—ECCV 2002 (pp. 453–468). Springer Berlin Heidelberg.. (2002).
Manhattan world: Compass direction from a single image by bayesian inference. In Computer Vision, 1999. The Proceedings of the Seventh IEEE International Conference on (Vol. 2, pp. 941–947). IEEE.. (1999).
Efficient deformable template detection and localization without user initialization. Computer Vision And Image Understanding, 78, 303–319.. (2000).
Manhattan world: Orientation and outlier detection by bayesian inference. Neural Computation, 15, 1063–1088.. (2003).
Cell phone-based wayfinding for the visually impaired. In 1st International Workshop on Mobile Vision.. (2006).
Shape matching with belief propagation: Using dynamic quantization to accomodate occlusion and clutter. In Computer Vision and Pattern Recognition Workshop, 2004. CVPRW'04. Generative Model-Based Vision. (pp. 180–180). IEEE.. (2004).
Efficient optimization of a deformable template using dynamic programming. In 2013 IEEE Conference on Computer Vision and Pattern Recognition (pp. 747–747). IEEE Computer Society.. (1998).
A fast algorithm for finding crosswalks using figure-ground segmentation. 2Nd Workshop On Applications Of Computer Vision, In Conjunction With Eccv, 5.. (2006).
Bayesian A* tree search with expected O (N) convergence rates for road tracking. In Energy Minimization Methods in Computer Vision and Pattern Recognition (pp. 189–204). Springer Berlin Heidelberg.. (1999).
Color targets: Fiducials to help visually impaired people find their way by camera phone. Eurasip Journal On Image And Video Processing, 2007.. (2007).
Bayesian A* tree search with expected O (N) node expansions: applications to road tracking. Neural Computation, 14, 1929–1958.. (2002).
Dynamic quantization for belief propagation in sparse spaces. Computer Vision And Image Understanding, 106, 47–58.. (2007).
The Manhattan world assumption: Regularities in scene statistics which enable Bayesian inference. In NIPS (pp. 845–851).. (2000).
Functional assessment of a camera phone-based wayfinding system operated by blind users. Ieee Computer Society And The Biological And Artificial Intelligence Society.. (2007).
Functional assessment of a camera phone-based wayfinding system operated by blind and visually impaired users. International Journal On Artificial Intelligence Tools, 18, 379–397.. (2009).
Rapid and robust algorithms for detecting colour targets. 10Th Congress Of The International Colour Association, Aic Colour, 5, 959–962.. (2005).
Computer vision-based terrain sensors for blind wheelchair users. In Computers Helping People with Special Needs (pp. 1294–1297). Springer Berlin Heidelberg.. (2006).
A phase space approach to minimax entropy learning and the minutemax approximations. In NIPS (pp. 761–767).. (1998).
A mobile phone wayfinding system for visually impaired users. Assistive Technology Research Series, 25, 849.. (2009).
Algorithms from statistical physics for generative models of images. Image And Vision Computing, 21, 29–36.. (2003).
The g Factor: Relating Distributions on Features to Distributions on Images. In NIPS (pp. 1231–1238).. (2001).
An Embarrassingly Simple Speed-Up of Belief Propagation with Robust Potentials. Arxiv Preprint Arxiv:1010.0012.. (2010).
A large deviation theory analysis of Bayesian tree search. Ima Volumes In Mathematics And Its Applications, 133, 1–18.. (2003).