In this paper we propose an efficient, non-iterative method for estimating optical flow. We develop a probabilistic framework that is appropriate for describing the inherent uncer...
Mesh analysis and clustering have became important issues in order to improve the efficiency of common processing operations like compression, watermarking or simplification. In t...
Understanding fluid flow is a difficult problem and of increasing importance as computational fluid dynamics produces an abundance of simulation data. Experimental flow analysis h...
Carson Brownlee, Vincent Pegoraro, Singer Shankar,...
Pervasive computing promises a new and radically improved paradigm for user interaction with services and applications. Although mainstream research and development in this area i...
Babak A. Farshchian, Josip Zoric, Lars Mehrmann, A...
Both software applications and their development environment are becoming more and more distributed. This trend impacts not only the way software computes, but also how it looks. T...