This series highlights a variety of topics related to scientific visualization. Principles of perception, along with techniques and tools for creating visualizations from scientific datasets is discussed.
Participants learn about modern tools for analyzing simulated and observed scientific data. Different types of data is explored ranging from 3D volumetric scan data, to vector fields, molecular simulations, and point clouds. Methods for visualizing both static and time-varying data is explored as well.
Different interface technologies as they are applied to visualization such as virtual and augmented reality, and 3D digitization and printing is also discussed.
Hosted by Bill Sherman and the Advanced Visualization Lab, Research Technologies (RT). RT is a division of University Information Technology Services and a center in the Pervasive Technology Institute at Indiana University.