Human identification at a distance has recently gained growing interest from computer vision researchers. This paper aims to propose a visual recognition algorithm based upon fusi...
This paper presents an efficient and scalable coding scheme for transmitting a stream of 3D models extracted from a video of a static scene. As in classical model-based video codi...
Increasingly, biology researchers and medical practitioners are using computational tools to model and analyze dynamic systems across scales from the macro to the cellular to the ...
Nicholas F. Polys, Doug A. Bowman, Chris North, Re...
For effective retrieval of visual information, statistical learning plays a pivotal role. Statistical learning in such a context faces at least two major mathematical challenges: ...
Cerebral aneurysms are a vascular dilatation induced by a pathological change of the vessel wall and often require treatment to avoid rupture. Therefore, it is of main interest, t...
Rocco Gasteiger, Mathias Neugebauer, Christoph Kub...