Stretch-Minimizing Volumetric Parameterization

Not many methods for parameterization guarantee bijectivity or local injectivity, which is essential for foldover- free mappings. Stretch-minimizing parameterization which is widely used for surface parameterization, provides foldover-free mappings and is capable of trading off between angle and are...

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Published inJournal of computer science and technology Vol. 30; no. 3; pp. 553 - 564
Main Author 金耀 钱归平 赵杰伊 常建 童若锋 张建军
Format Journal Article
LanguageEnglish
Published New York Springer US 01.05.2015
Springer Nature B.V
Department of Computer Science and Engineering, Zhejiang University, Hangzhou 310027, China%College of New Media, Zhejiang University of Media and Communications, Hangzhou 310018, China%National Centre for Computer Animation, Bournemouth University, Bournemouth, BH12 5BB, U.K
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ISSN1000-9000
1860-4749
DOI10.1007/s11390-015-1545-y

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Abstract Not many methods for parameterization guarantee bijectivity or local injectivity, which is essential for foldover- free mappings. Stretch-minimizing parameterization which is widely used for surface parameterization, provides foldover-free mappings and is capable of trading off between angle and area distortions. We extend its usage to volumetric parameterization in this paper by deriving a 3D version of stretch-distortion energy and incorporating fixed boundary conditions. Our energy definition includes a naturM barrier term which effectively prevents elements from collapsing and folding over. It saves the effort in other methods of formulating additional energy or constrains to ensure the local injectivity. We propose to minimize the overall energy integrated over the whole mesh with a relaxation-enhanced solver and optimize the energy globally. This is different from the conventional approach of surface parameterization where mesh nodes are optimized individually. Compared with other volumetric parameterizations, method, being foldover-free and offering a good trade-off between our approach bears the advantages of stretch-minimizing angle and volume distortions.
AbstractList Not many methods for parameterization guarantee bijectivity or local injectivity, which is essential for foldoverfree mappings. Stretch-minimizing parameterization which is widely used for surface parameterization, provides foldover-free mappings and is capable of trading off between angle and area distortions. We extend its usage to volumetric parameterization in this paper by deriving a 3D version of stretch-distortion energy and incorporating fixed boundary conditions. Our energy definition includes a natural barrier term which effectively prevents elements from collapsing and folding over. It saves the effort in other methods of formulating additional energy or constrains to ensure the local injectivity. We propose to minimize the overall energy integrated over the whole mesh with a relaxation-enhanced solver and optimize the energy globally. This is different from the conventional approach of surface parameterization where mesh nodes are optimized individually. Compared with other volumetric parameterizations, our approach bears the advantages of stretch-minimizing method, being foldover-free and offering a good trade-off between angle and volume distortions.
Not many methods for parameterization guarantee bijectivity or local injectivity, which is essential for foldover- free mappings. Stretch-minimizing parameterization which is widely used for surface parameterization, provides foldover-free mappings and is capable of trading off between angle and area distortions. We extend its usage to volumetric parameterization in this paper by deriving a 3D version of stretch-distortion energy and incorporating fixed boundary conditions. Our energy definition includes a naturM barrier term which effectively prevents elements from collapsing and folding over. It saves the effort in other methods of formulating additional energy or constrains to ensure the local injectivity. We propose to minimize the overall energy integrated over the whole mesh with a relaxation-enhanced solver and optimize the energy globally. This is different from the conventional approach of surface parameterization where mesh nodes are optimized individually. Compared with other volumetric parameterizations, method, being foldover-free and offering a good trade-off between our approach bears the advantages of stretch-minimizing angle and volume distortions.
Not many methods for parameterization guarantee bijectivity or local injectivity, which is essential for foldover-free mappings. Stretch-minimizing parameterization which is widely used for surface parameterization, provides foldover-free mappings and is capable of trading off between angle and area distortions. We extend its usage to volumetric parameterization in this paper by deriving a 3D version of stretch-distortion energy and incorporating fixed boundary conditions. Our energy definition includes a natural barrier term which effectively prevents elements from collapsing and folding over. It saves the effort in other methods of formulating additional energy or constrains to ensure the local injectivity. We propose to minimize the overall energy integrated over the whole mesh with a relaxation-enhanced solver and optimize the energy globally. This is different from the conventional approach of surface parameterization where mesh nodes are optimized individually. Compared with other volumetric parameterizations, our approach bears the advantages of stretch-minimizing method, being foldover-free and offering a good trade-off between angle and volume distortions.
Author 金耀 钱归平 赵杰伊 常建 童若锋 张建军
AuthorAffiliation Department of Computer Science and Engineering, Zhejiang University, Hangzhou 310027, China College of New Media, Zhejiang University of Media and Communications, Hangzhou 310018, China National Centre for Computer Animation, Bournemouth University, Bournemouth, BH12 5BB, U.K.
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CitedBy_id crossref_primary_10_1016_j_cad_2016_04_007
crossref_primary_10_1137_19M1301096
crossref_primary_10_1137_18M1201184
crossref_primary_10_1016_j_cad_2016_05_020
crossref_primary_10_1007_s00521_017_3220_4
crossref_primary_10_1145_2897824_2925890
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Keywords stretch-minimizing
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volumetric parameterization
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Notes Yao Jin, Gui-Ping Qian, Jie-Yi Zhao, Jian Chang,Ruo-Feng Tong, Jianjun Zhang (1Department of Computer Science and Engineering, Zhejiang University, Hangzhou 310027, China 2College of New Media, Zhejian9 University of Media and Communications, Hangzhou 310018, China 3National Centre for Computer Animation, Bournemouth University, Bournemouth, BH12 5BB, U.K)
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Not many methods for parameterization guarantee bijectivity or local injectivity, which is essential for foldover- free mappings. Stretch-minimizing parameterization which is widely used for surface parameterization, provides foldover-free mappings and is capable of trading off between angle and area distortions. We extend its usage to volumetric parameterization in this paper by deriving a 3D version of stretch-distortion energy and incorporating fixed boundary conditions. Our energy definition includes a naturM barrier term which effectively prevents elements from collapsing and folding over. It saves the effort in other methods of formulating additional energy or constrains to ensure the local injectivity. We propose to minimize the overall energy integrated over the whole mesh with a relaxation-enhanced solver and optimize the energy globally. This is different from the conventional approach of surface parameterization where mesh nodes are optimized individually. Compared with other volumetric parameterizations, method, being foldover-free and offering a good trade-off between our approach bears the advantages of stretch-minimizing angle and volume distortions.
stretch-minimizing, volumetric parameterization, foldover-free
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Snippet Not many methods for parameterization guarantee bijectivity or local injectivity, which is essential for foldover- free mappings. Stretch-minimizing...
Not many methods for parameterization guarantee bijectivity or local injectivity, which is essential for foldoverfree mappings. Stretch-minimizing...
Not many methods for parameterization guarantee bijectivity or local injectivity, which is essential for foldover-free mappings. Stretch-minimizing...
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SubjectTerms Analysis
Artificial Intelligence
Boundary conditions
Collapse
Computer Science
Data Structures and Information Theory
Deformation
Distortion
Energy
Energy conservation
Energy of formation
Information Systems Applications (incl.Internet)
Mapping
Methods
Optimization
Parameterization
Parametrization
Regular Paper
Software Engineering
Solvers
Studies
Theory of Computation
Three dimensional
Tradeoffs
Volumetric analysis
传统方法
体积
参数化
拉伸
最小化
网格节点
表面参数
边界条件
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Title Stretch-Minimizing Volumetric Parameterization
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