Interactive Visualization of Large Higher-Order Tetrahedral Data

90 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2007.In this dissertation we propose novel algorithms to accurately, interactively, and efficiently visualize large higher-order volumetric data sets with non-conforming meshes and discontinuous solution fields, which is an uncovered field so far. Our algorithms include accurate pixel-exact surface rendering, interactive point-based volume visualization and efficient feature-based visualization. This dissertation presents our techniques can efficiently render volumes on the order of 20 million tetrahedra with cubic-order polynomial solution data at interactive rates. Our methods are not limited to higher-order tetrahedral data, they can be generalized to other non-linear or linear volumetric data sets as sell.U of I OnlyRestricted to the U of I community idenfinitely during batch ingest of legacy ETD