We analyze the problem of detecting a road target in background clutter and investigate the amount of prior (i.e. target specific) knowledge needed to perform this search task. Th...
We evaluate different two-dimensional non-linear deformation models for handwritten character recognition. Starting from a true two-dimensional model, we derive pseudo-two-dimensi...
We describe an application of probabilistic modeling to the problem of recognizing radio galaxies with a bentdouble morphology. The type of galaxies in question contain distinctiv...
Sergey Kirshner, Igor V. Cadez, Padhraic Smyth, Ch...
An approach that allows a user to assist an automatic system in modeling buildings is described. The approach is designed to be efficient in user time and effort while preserving ...
An approach for fast tracking of arbitrary image features with no prior model and no offline learning stage is presented. Fast tracking is achieved using banks of linear displacem...
Liam Ellis, Nicholas Dowson, Jiri Matas, Richard B...