The size and resolution of volume datasets in science and medicine are increasing at a rate much greater than the resolution of the screens used to view them. This limits the amou...
Lujin Wang, Ye Zhao, Klaus Mueller, Arie E. Kaufma...
This paper presents a novel approach for surface reconstruction from point clouds. The proposed technique is general in the sense that it naturally handles both manifold and non-m...
Jianning Wang, Manuel M. Oliveira, Arie E. Kaufman
Little is known about the cognitive abilities which influence the comprehension of scientific and information visualizations and what properties of the visualization affect compre...
Arti cial neural networks are computer software or hardware models inspired by the structure and behavior of neurons in the human nervous system. As a powerful learning tool, incr...
Displays combining both 2D and 3D views have been shown to support higher performance on certain visualization tasks. However, it is not clear how best to arrange a combination of...
Melanie Tory, M. Stella Atkins, Arthur E. Kirkpatr...
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...
Line primitives are a very powerful visual attribute used for scientific visualization and in particular for 3D vector-field visualization. We extend the basic line primitives w...
We present a practical and general-purpose approach to large and complex visual data analysis where visualization processing, rendering and subsequent human interpretation is cons...
Kurt Stockinger, John Shalf, Kesheng Wu, E. Wes Be...