Publications
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Filters: Author is James Coughlan [Clear All Filters]
. (2003). Manhattan world: Orientation and outlier detection by bayesian inference. Neural Computation, 15, 1063–1088.
. (2000). The Manhattan world assumption: Regularities in scene statistics which enable Bayesian inference. In NIPS (pp. 845–851).
. (2001). The g Factor: Relating Distributions on Features to Distributions on Images. In NIPS (pp. 1231–1238).
. (2006). A fast algorithm for finding crosswalks using figure-ground segmentation. 2Nd Workshop On Applications Of Computer Vision, In Conjunction With Eccv, 5.
. (2006). Computer vision-based terrain sensors for blind wheelchair users. In Computers Helping People with Special Needs (pp. 1294–1297). Springer Berlin Heidelberg.
. (2012). The crosswatch traffic intersection analyzer: a roadmap for the future. In Computers Helping People with Special Needs (pp. 25–28). Springer Berlin Heidelberg.
. (2017). Evaluating Author and User Experience for an Audio-Haptic System for Annotation of Physical Models. In 19th Int’l ACM SIGACCESS Conference on Computers and Accessibility (ASSETS 2017). ACM: Baltimore, MD.
. (2000). Efficient deformable template detection and localization without user initialization. Computer Vision And Image Understanding, 78, 303–319.
. (2007). Dynamic quantization for belief propagation in sparse spaces. Computer Vision And Image Understanding, 106, 47–58.
. (2009). Basic 3D Geometry for One and Two Cameras.
. (2022). Non-Visual Access to an Interactive 3D Map. In Joint International Conference on Digital Inclusion, Assistive Technology & Accessibility (ICCHP-AAATE '22).
. (1998). 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.