Understanding and analyzing complex volumetrically varying data is a difficult problem. Many computational visualization techniques have had only limited success in succinctly po...
Nikolai A. Svakhine, Yun Jang, David S. Ebert, Kel...
Conveying shape using feature lines is an important visualization tool in visual computing. The existing feature lines (e.g., ridges, valleys, silhouettes, suggestive contours, etc...
While previous Visualization panels have focused on different methods for scientific visualization, this panel focuses on the process of transforming data into insight. The overa...
Kelly P. Gaither, David S. Ebert, Daniel Weiskopf,...
Traditionally, time-varying data has been visualized using snapshots of the individual time steps or an animation of the snapshots shown in a sequential manner. For larger dataset...
Ad-hoc data processing has proven to be a critical paradigm for Internet companies processing large volumes of unstructured data. However, the emergence of cloud-based computing, ...