Scalable Methods for Processing Massive Geometric Meshes
Shaffer, Eric Gene
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https://hdl.handle.net/2142/81693
Description
Title
Scalable Methods for Processing Massive Geometric Meshes
Author(s)
Shaffer, Eric Gene
Issue Date
2005
Doctoral Committee Chair(s)
Michael Garland
Department of Study
Computer Science
Discipline
Computer Science
Degree Granting Institution
University of Illinois at Urbana-Champaign
Degree Name
Ph.D.
Degree Level
Dissertation
Keyword(s)
Computer Science
Language
eng
Abstract
Polygonal meshes are easily the most common surface representation currently employed in computer graphics, finding application in fields as diverse as the visual arts and scientific computation. Technological advances in the areas of three-dimensional scanning, digital storage, and computer processing speeds have enabled the acquisition of geometric meshes of unprecedented size and detail. Too large to fit in-core on most computing systems, these meshes have sizes that exceed the address space of many conventional operating systems. Efficient processing of these meshes requires fundamentally new algorithms, designed specifically for scalability. This dissertation describes novel algorithms for adaptive simplification and smoothing of massive meshes. It also proposes a new multiresolution representation for massive meshes that enables operations such as view-dependent rendering and collision detection.
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