Topology has been an important tool for analyzing scalar data and flow fields in visualization. In this work, we analyze the topology of multivariate image and volume data sets wit...
Joe Kniss, Warren Hunt, Kristin Potter, Pradeep...
The Morse-Smale (MS) complex has proven to be a useful tool in extracting and visualizing features from scalar-valued data. However, efficient computation of the MS complex for lar...
Attila Gyulassy, Peer-Timo Bremer, Bernd Hamann,...
Diffusion weighted magnetic resonance imaging is a unique tool for non-invasive investigation of major nerve fiber tracts. Since the popular diffusion tensor (DT-MRI) model is limi...
Recently it has been claimed that as early as 1420 some European artists constructed their paintings by optically projecting images onto their supports (canvas, oak panel, etc.) a...
Bayesian networks are an attractive modeling tool for human sensing, as they combine an intuitive graphical representation with ef?cient algorithms for inference and learning. Ear...
Tanzeem Choudhury, James M. Rehg, Vladimir Pavlovi...