Feature-aligned, semiregular, quad-only mesh generation

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Publication Type dissertation
School or College College of Engineering
Department Computing
Author Daniels, Joel, II
Title Feature-aligned, semiregular, quad-only mesh generation
Date 2010
Description This research focuses on the generation of representational structure from unstructured inputs for model reconstruction to facilitate subsequent geometry processing. In particular, the results include spline-based curve reconstruction of sharp features in pointsampled geometry, and quadrilateral-only mesh processing and generation from polygonal models. The challenges of model reconstruction, as well as the relationship between continuous and discrete geometry, are important thematic elements of this research. Virtual surface models are ubiquitous in computer graphics, representing fundamental entities in visualization and modeling toolkits. Applications of surface geometry are as diverse as the representational formats constructed to achieve these ends, each designed with different characteristics and advantages. Translation between the assorted forms is often necessitated by the allowable inputs of system implementations and desired algorithms, and requires techniques to reconstruct the model with new geometry. Consequently, model reconstruction algorithms are prevalent in most modeling pipelines, used to augment the availability of applicable algorithms and to improve the robustness and efficiency of subsequent geometry processing. In this work, my simplification and reconstruction results are demonstrated on a variety of organic and mechanical models whose original representations range from point clouds to unstructured and structured triangle, quadrilateral, and hybrid meshes.
Type Text
Publisher University of Utah
Subject Computer graphics; Geometry processing; Mesh simplification; Quadrilateral meshing; Surface parameterization; Surface reconstruction
Subject LCSH Computer simulation; Numerical grid generation (Numerical analysis)
Dissertation Institution University of Utah
Dissertation Name PhD
Language eng
Rights Management ©Joel Daniels II
Format Medium application/pdf
Format Extent 64,071,650 bytes
Source Original in Marriott Library Special Collections, QA3.5 2010 .D26
ARK ark:/87278/s6qj7xsp
Setname ir_etd
ID 192474
Reference URL https://collections.lib.utah.edu/ark:/87278/s6qj7xsp