For years, researchers in face recognition area have been representing and recognizing faces based on subspace discriminant analysis or statistical learning. Nevertheless, these a...
While a large number of vision applications rely on the mapping between 3D scenes and their corresponding 2D camera images, the question that occurs to most researchers is what, i...
Learning general truths from the observation of simple domains and, further, learning how to use this knowledge are essential capabilities for any intelligent agent to understand ...
Paulo Santos, Derek R. Magee, Anthony G. Cohn, Dav...
Anatomical shapes present a unique problem in terms of accurate representation and medical image segmentation. Three-dimensional (3D) statistical shape models have been extensivel...
Eric Berg, Mohamed Mahfouz, Christian Debrunner, W...
The agent metaphor has shown its usefulness for modelling as well as implementing complex and dynamic applications. Although a number of agent applications has been successfully re...
Lars Braubach, Alexander Pokahr, Dirk Bade, Karl-H...