Please use this identifier to cite or link to this item: doi:10.22028/D291-25845
Title: New Techniques for the Modeling, Processing and Visualization of Surfaces and Volumes
Authors: Rössl, Christian
Language: English
Issue Date: 2005
OPUS Scource: 
SWD key words: Fläche
Volumen
Modellierung
Verarbeitung
Visualisierung
Dreiecksnetz
Spline-Raum
DDC groups: 004 Computer science, internet
Publikation type: Doctoral Thesis
Abstract: With the advent of powerful 3D acquisition technology, there is a growing demand for the modeling, processing, and visualization of surfaces and volumes. The proposed methods must be efficient and robust, and they must be able to extract the essential structure of the data and to easily and quickly convey the most significant information to a human observer. Independent of the specific nature of the data, the following fundamental problems can be identified: shape reconstruction from discrete samples, data analysis, and data compression. This thesis presents several novel solutions to these problems for surfaces (Part I) and volumes (Part II). For surfaces, we adopt the well-known triangle mesh representation and develop new algorithms for discrete curvature estimation,detection of feature lines, and line-art rendering (Chapter 3), for connectivity encoding (Chapter 4), and for topology preserving compression of 2D vector fields (Chapter 5). For volumes, that are often given as discrete samples, we base our approach for reconstruction and visualization on the use of new trivariate spline spaces on a certain tetrahedral partition. We study the properties of the new spline spaces (Chapter 7) and present efficient algorithms for reconstruction and visualization by iso-surface rendering for both, regularly (Chapter 8) and irregularly (Chapter 9) distributed data samples.
URI: urn:nbn:de:bsz:291-scidok-4884
hdl:20.500.11880/25901
http://dx.doi.org/10.22028/D291-25845
Advisor: Hans-Peter Seidel
Date of oral examination: 20-Jul-2005
Date issued: 23-Jan-2006
Faculty: MI - Fakultät für Mathematik und Informatik
Institute: MI - Informatik
Appears in Collections:SciDok - Der Wissenschaftsserver der Universität des Saarlandes

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