A novel method is proposed for matching articulated objects in cluttered videos. The method needs only a single exemplar image of the target object. Instead of using a small set o...
Local descriptors are increasingly used for the task of object recognition because of their perceived robustness with respect to occlusions and to global geometrical deformations....
Event/object classification and recognition is an extremely challenging problem, particularly when the query or stored data undergo an affine transformation due to camera motion. ...
The “Object Constraint Language” (OCL) offers a formal notation for constraining model elements in UML diagrams. OCL consists of a navigational expression language which, for ...
Rolf Hennicker, Hubert Baumeister, Alexander Knapp...
Abstract. Selective attention shift can help neural networks learn invariance. We describe a method that can produce a network with invariance to changes in visual input caused by ...