Variational geometry processing

In this thesis, two basic topics in geometry processing—curve/surface smoothing and reconstruction are discussed. The variational approaches are used to address these two closely related problems. The methods are based on defining suitable cost functionals to be minimized, and the cost is the combin...

Full description

Saved in:
Bibliographic Details
Main Author: Wang, Yu
Other Authors: Wang Desheng
Format: Theses and Dissertations
Language:English
Published: 2010
Subjects:
Online Access:https://hdl.handle.net/10356/42057
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Nanyang Technological University
Language: English
id sg-ntu-dr.10356-42057
record_format dspace
spelling sg-ntu-dr.10356-420572023-02-28T23:58:35Z Variational geometry processing Wang, Yu Wang Desheng School of Physical and Mathematical Sciences DRNTU::Science::Mathematics::Applied mathematics In this thesis, two basic topics in geometry processing—curve/surface smoothing and reconstruction are discussed. The variational approaches are used to address these two closely related problems. The methods are based on defining suitable cost functionals to be minimized, and the cost is the combination of a fidelity term and a smoothness term. By utilizing different representations of interfaces, the energy functional assumes different forms and is minimized by disparate methodologies. In this thesis 3 different representations and 4 different minimization methods are discussed. First two chapters use Partial-Differential-Equation-based (PDE-based) methods to solve curve smoothing problems, in which level-set modelling and phase-field modelling are used respectively. Piece-wise constant functions are used to represent interfaces by discon- tinues of the functions in Chapters 4, 5, and 6, and combinatorial optimization tech- niques are applied for the minimization problems. In particular, Chapter 4 discusses a general energy functional framework suitable for geometry processing applications and the corresponding graph-cuts minimization. Under the same variational framework, Chapter 5 solves the minimization problem via centroidal-Voronoi-tessellation-based (CVT-based) methods and discusses multi-phase the problems in terms of clustering language. Chapter 6 dedicates to the surface reconstruction problem, in which the functional is minimized by multi-way graph-cuts on a Delaunay-based tetrahedral mesh so that the advantages of explicit and implicit methods for surface reconstruc- tion are well integrated. Numerous examples substantiate the effectiveness, efficiency and robustness of the proposed methods. In Chapter 7, a systematic comparison is conducted through various examples. DOCTOR OF PHILOSOPHY (SPMS) 2010-09-15T08:11:49Z 2010-09-15T08:11:49Z 2010 2010 Thesis Wang, Y. (2010). Variational geometry processing. Doctoral thesis, Nanyang Technological University, Singapore. https://hdl.handle.net/10356/42057 10.32657/10356/42057 en 200 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Science::Mathematics::Applied mathematics
spellingShingle DRNTU::Science::Mathematics::Applied mathematics
Wang, Yu
Variational geometry processing
description In this thesis, two basic topics in geometry processing—curve/surface smoothing and reconstruction are discussed. The variational approaches are used to address these two closely related problems. The methods are based on defining suitable cost functionals to be minimized, and the cost is the combination of a fidelity term and a smoothness term. By utilizing different representations of interfaces, the energy functional assumes different forms and is minimized by disparate methodologies. In this thesis 3 different representations and 4 different minimization methods are discussed. First two chapters use Partial-Differential-Equation-based (PDE-based) methods to solve curve smoothing problems, in which level-set modelling and phase-field modelling are used respectively. Piece-wise constant functions are used to represent interfaces by discon- tinues of the functions in Chapters 4, 5, and 6, and combinatorial optimization tech- niques are applied for the minimization problems. In particular, Chapter 4 discusses a general energy functional framework suitable for geometry processing applications and the corresponding graph-cuts minimization. Under the same variational framework, Chapter 5 solves the minimization problem via centroidal-Voronoi-tessellation-based (CVT-based) methods and discusses multi-phase the problems in terms of clustering language. Chapter 6 dedicates to the surface reconstruction problem, in which the functional is minimized by multi-way graph-cuts on a Delaunay-based tetrahedral mesh so that the advantages of explicit and implicit methods for surface reconstruc- tion are well integrated. Numerous examples substantiate the effectiveness, efficiency and robustness of the proposed methods. In Chapter 7, a systematic comparison is conducted through various examples.
author2 Wang Desheng
author_facet Wang Desheng
Wang, Yu
format Theses and Dissertations
author Wang, Yu
author_sort Wang, Yu
title Variational geometry processing
title_short Variational geometry processing
title_full Variational geometry processing
title_fullStr Variational geometry processing
title_full_unstemmed Variational geometry processing
title_sort variational geometry processing
publishDate 2010
url https://hdl.handle.net/10356/42057
_version_ 1759857860522541056