Compressive sensing accurately reconstructs a signal that is sparse in some basis from measurements, generally consisting of the signal’s inner products with Gaussian random vec...
Abstract-- Recovery of traffic in connectionless pure IP networks has traditionally been handled by a full re-convergence of the network state. This process operates in a time scal...
Audun Fosselie Hansen, Olav Lysne, Tarik Cicic, St...
A new approach is presented for 3D shape recovery of local planar surface patches from two shift/spacevariant defocused images. It is based on a recently proposed technique for in...
Compressive sampling offers a new paradigm for acquiring signals that are compressible with respect to an orthonormal basis. The major algorithmic challenge in compressive sampling...
We present a novel method for vision-based recovery of three-dimensional structures through simultaneous model reconstruction and camera position tracking from monocular images. O...
Oliver Ruepp, Darius Burschka, Robert Bauernschmit...