Designing 3D Anisotropic Frame Fields with Odeco Tensors
Haikuan Zhu, Hongbo Li, Hsueh-Ti Derek Liu, Wenping Wang, Jing Hua, Zichun Zhong

TL;DR
This paper presents a novel method for synthesizing smooth, high-anisotropy 3D tensor fields within complex domains using odeco tensors, enabling improved applications in meshing, mechanics, and fabrication.
Contribution
It introduces a new computational framework based on odeco tensors for designing anisotropic tensor fields aligned with domain boundaries and user guidance.
Findings
Effective generation of smooth, high-anisotropy tensor fields
Demonstrated applications in meshing and structural mechanics
Outperforms isotropic methods in complex shapes
Abstract
This paper introduces a method to synthesize a 3D tensor field within a constrained geometric domain represented as a tetrahedral mesh. Whereas previous techniques optimize for isotropic fields, we focus on anisotropic tensor fields that are smooth and aligned with the domain boundary or user guidance. The key ingredient of our method is a novel computational design framework, built on top of the symmetric orthogonally decomposable (odeco) tensor representation, to optimize the stretching ratios and orientations for each tensor in the domain. In contrast to past techniques designed only for isotropic tensors, we demonstrate the efficacy of our approach in generating smooth volumetric tensor fields with high anisotropy and shape conformity, especially for the domain with complex shapes. We apply these anisotropic tensor fields to various applications, such as anisotropic meshing,…
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Taxonomy
Topics3D Shape Modeling and Analysis · Computational Geometry and Mesh Generation · Computer Graphics and Visualization Techniques
