Abstract. Class hierarchies are commonly used to reduce the complexity of the classification problem. This is crucial when dealing with a large number of categories. In this work, ...
Abstract. We present a probabilistic algorithm for finding correspondences across multiple images. The algorithm runs in a distributed setting, where each camera is attached to a s...
Abstract. We investigate the influence of the mirror shape on the imaging quality of catadioptric sensors. For axially symmetrical mirrors we calculate the locations of the virtual...
Abstract. Successful multi-target tracking requires solving two problems - localize the targets and label their identity. An isolated target's identity can be unambiguously pr...
We investigate the implications of the conventional "t+2D" MC 3D-DWT structure for spatial scalability, and propose a more exible "2D+t+2D" structure. An initi...