TY - JOUR
T1 - Convergence of Dirichlet Energy Minimization for Spherical Conformal Parameterizations
AU - Liao, Wei Hung
AU - Huang, Tsung Ming
AU - Lin, Wen Wei
AU - Yueh, Mei Heng
N1 - Publisher Copyright:
© 2023, The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.
PY - 2024/1
Y1 - 2024/1
N2 - In this paper, we first derive a theoretical basis for spherical conformal parameterizations between a simply connected closed surface S and a unit sphere S2 by minimizing the Dirichlet energy on C¯ with stereographic projection. The Dirichlet energy can be rewritten as the sum of the energies associated with the southern and northern hemispheres and can be decreased under an equivalence relation by alternatingly solving the corresponding Laplacian equations. Based on this theoretical foundation, we develop a modified Dirichlet energy minimization with nonequivalence deflation for the computation of the spherical conformal parameterization between S and S2 . In addition, under some mild conditions, we verify the asymptotically R-linear convergence of the proposed algorithm. Numerical experiments on various benchmarks confirm that the assumptions for convergence always hold and demonstrate the efficiency, reliability and robustness of the developed modified Dirichlet energy minimization.
AB - In this paper, we first derive a theoretical basis for spherical conformal parameterizations between a simply connected closed surface S and a unit sphere S2 by minimizing the Dirichlet energy on C¯ with stereographic projection. The Dirichlet energy can be rewritten as the sum of the energies associated with the southern and northern hemispheres and can be decreased under an equivalence relation by alternatingly solving the corresponding Laplacian equations. Based on this theoretical foundation, we develop a modified Dirichlet energy minimization with nonequivalence deflation for the computation of the spherical conformal parameterization between S and S2 . In addition, under some mild conditions, we verify the asymptotically R-linear convergence of the proposed algorithm. Numerical experiments on various benchmarks confirm that the assumptions for convergence always hold and demonstrate the efficiency, reliability and robustness of the developed modified Dirichlet energy minimization.
KW - Asymptotically R-linear convergence
KW - Dirichlet energy minimization
KW - Nonequivalence deflation
KW - Spherical conformal parameterization
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U2 - 10.1007/s10915-023-02424-x
DO - 10.1007/s10915-023-02424-x
M3 - Article
AN - SCOPUS:85180844227
SN - 0885-7474
VL - 98
JO - Journal of Scientific Computing
JF - Journal of Scientific Computing
IS - 1
M1 - 29
ER -