Classifying images using features extracted from densely sampled local patches has enjoyed significant success in many detection and recognition tasks. It is also well known that ...
Compressive Sensing has become one of the standard methods of face recognition within the literature. We show, however, that the sparsity assumption which underpins much of this w...
Qinfeng Shi, Anders Eriksson, Anton vandenHengel, ...
In this paper, we present an efficient algorithm for 3D object recognition in presence of clutter and occlusions in noisy, sparse and unsegmented range data. The method uses a robu...
Motivation: Enormous, and constantly increasing quantity of biological information is represented in protein interaction network databases. Most of these data are freely accessibl...
We use temporally sequenced flash illumination to capture coded exposure images of fast-moving objects in low light environments. These coded flash images allow for accurate est...