Construction of Diffeomorphisms with Prescribed Jacobian Determinant and Curl: - that forms a new definition of Averaging Diffeomorphisms.

Zicong Zhou, Guojun Liao
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引用次数: 4

Abstract

The Variational Principle (VP) is designed to generate non-folding grids (diffeomorphisms) with prescribed Jacobian determinant (JD) and curl. The solution pool of the original VP is based on an additive formulation and, consequently, is not invariant in the diffeomorphic Lie algebra. The original VP works well when the prescribed pair of JD and curl is calculated from a diffeomorphism, but not necessarily when the prescribed JD and curl are unknown to come from a diffeomorphism. In spite of that, the original VP works effectively in 2D grid generations. To resolve this issue, in this paper, we describe a new version of VP (revised VP), which is based on the composition of transformations and, therefore, is invariant in the Lie algebra. The revised VP seems to have overcome the inaccuracy of the original VP in 3D grid generations. In the following sections, the mathematical derivations are presented. It is shown that the revised VP can calculate the inverse transformation of a known diffeomorphism. Its inverse consistency and transitivity of transformations are also demonstrated numerically. Finally, a new definition of averaging diffeomorphisms based on the revised VP is proposed.

具有定雅可比行列式和旋度的微分同态的构造:-,形成了平均微分同态的新定义。
变分原理(VP)用于生成具有指定雅可比行列式(JD)和旋度的非折叠网格(微分同态)。原VP的解池是基于一个加性公式,因此在微分同态李代数中不是不变的。当指定的JD和旋度对是从一个微分同构中计算出来时,原始VP可以很好地工作,但当指定的JD和旋度未知地来自微分同构时,就不一定了。尽管如此,最初的VP在2D网格世代中仍能有效地工作。为了解决这一问题,本文描述了一种新的VP(修正VP),它是基于复合变换的,因此在李代数中是不变的。修订后的VP似乎克服了原VP在3D网格生成中的不准确性。在接下来的章节中,给出了数学推导。证明了修正后的VP可以计算已知微分同构的逆变换。用数值方法证明了它的逆相合性和变换的可传递性。在此基础上,提出了一种新的平均微分同态的定义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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