More and more researchers focus their studies on multi-view activity recognition, because a fixed view could not provide enough information for recognition. In this paper, we use ...
Abstract. We put forward an architectural framework that promotes the externalisation of the social dimension that arises in software-intensive systems which, like in healthcare, e...
Abstract. Robust object recognition is one of the most challenging topics in computer vision. In the last years promising results have been obtained using local regions and descrip...
We initiate a complexity-theoretic treatment of hardness amplification for collision-resistant hash functions, namely the transformation of weakly collision-resistant hash functio...
Ran Canetti, Ronald L. Rivest, Madhu Sudan, Luca T...
We present a new framework for correcting multiperspective distortions using collineations. A collineation describes the transformation between the images of a camera due to change...