Class Description:
This recorded class is a technical session on working with various different scientific data types in Houdini. Topics covered include data wrangling, Houdini-friendly formats like Geo/Bgeo and OpenVDB, Houdini-unfriendly but common scientific data representations like Adaptive Mesh Refinement, and spatial and temporal data interpolation. This will be an introduction to the data and programming side of Houdini, with less focus on design or rendering.
Instructor: Kalina Borkiewicz
Kalina leads the Advanced Visualization Lab (AVL) at the National Center for Supercomputing Applications (NCSA) at the University of Illinois at Urbana-Champaign. Kalina’s background is in computer science, and she works in a “Renaissance Team” that consists of artists, scientists, and programmers. Since 2014, Kalina and the AVL have been using Houdini to create cinematic scientific visualizations of real data, captured by scientific instruments like satellites or simulated on massive supercomputers like Blue Waters. These visualizations are seen around the world in the form of planetarium fulldome shows, IMAX films, and streaming documentaries.
Profile: / kalinaborkiewicz
Learn more about this course: bit.ly/hs-scie...
Негізгі бет Working with Scientific Datasets in Houdini
Пікірлер: 3