Interactive Visualization of Large Higher-Order Tetrahedral Data

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.

Name thesis:degree_name

Ph.D.

Level thesis:degree_level

Dissertation

Discipline thesis:degree_discipline

Computer Science

Grantor

University of Illinois at Urbana-Champaign

Year dc:date

2015

Author dc:creator

• Zhou, Yuan

Contributors dc:contributor

• Michael Garland

• Computer Science

Language dc:language

eng

Identifier

(MiAaPQ)AAI3290455

OAI identifier oai:identifier

oai:www.ideals.illinois.edu:2142/81798