Hierarchical Spherical Cross‐Parameterization for Deforming Characters

Abstract The demand for immersive technology and realistic virtual environments has created a need for automated solutions to generate characters with morphological variations. However, existing approaches either rely on manual labour or oversimplify the problem by limiting it to static meshes or deformation transfers without shape morphing. In this paper, we propose a new cross‐parameterization approach that semi‐automates the generation of morphologically diverse characters with synthesized articulations and animations. The main contribution of this work is that our approach parameterizes deforming characters into a novel hierarchical multi‐sphere domain, while considering the attributes of mesh topology, deformation and animation. With such a multi‐sphere domain, our approach minimizes parametric distortion rates, enhances the bijectivity of parameterization and aligns deforming feature correspondences. The alignment process we propose allows users to focus only on major joint pairs, which is much simpler and more intuitive than the existing alignment solutions that involve a manual process of identifying feature points on mesh surfaces. Compared to recent works, our approach achieves high‐quality results in the applications of 3D morphing, texture transfer, character synthesis and deformation transfer.

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Publication Details

Journal
Computer Graphics Forum
Published
2024-09-01
DOI
https://doi.org/10.1111/cgf.15197
Primary Topic
3D Shape Modeling and Analysis
Type
article
Field-Weighted Citation Impact
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article

Hierarchical Spherical Cross‐Parameterization for Deforming Characters

Chao Peng, Lizhou Cao
Computer Graphics Forum
3D Shape Modeling and Analysis
article

Hierarchical Spherical Cross‐Parameterization for Deforming Characters

Chao Peng, Lizhou Cao
article en

Abstract

Abstract The demand for immersive technology and realistic virtual environments has created a need for automated solutions to generate characters with morphological variations. However, existing approaches either rely on manual labour or oversimplify the problem by limiting it to static meshes or deformation transfers without shape morphing. In this paper, we propose a new cross‐parameterization approach that semi‐automates the generation of morphologically diverse characters with synthesized articulations and animations. The main contribution of this work is that our approach parameterizes deforming characters into a novel hierarchical multi‐sphere domain, while considering the attributes of mesh topology, deformation and animation. With such a multi‐sphere domain, our approach minimizes parametric distortion rates, enhances the bijectivity of parameterization and aligns deforming feature correspondences. The alignment process we propose allows users to focus only on major joint pairs, which is much simpler and more intuitive than the existing alignment solutions that involve a manual process of identifying feature points on mesh surfaces. Compared to recent works, our approach achieves high‐quality results in the applications of 3D morphing, texture transfer, character synthesis and deformation transfer.

Computer Graphics ForumVol. 43(6)
Rochester Institute of Technology (US), University of Maryland Eastern Shore (US)
Decent work and economic growth
Openalex Percentile: Top 83%
3D Shape Modeling and Analysis
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