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首页> 外文期刊>Finite Elements in Analysis and Design >Modelling facial expressions: A framework for simulating nonlinear soft tissue deformations using embedded 3D muscles
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Modelling facial expressions: A framework for simulating nonlinear soft tissue deformations using embedded 3D muscles

机译:面部表情建模:使用嵌入式3D肌肉模拟非线性软组织变形的框架

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摘要

Human face can be seen as a soft tissue organ complex with a large investing network of musculature. Due to its complexity, most existing computational models approximate these muscular structures using simple geometries such as 1-D curves or primitive 3-D shapes. This paper presents a new approach to evaluate muscle contribution from anatomically accurate geometries while maintaining the computational complexity at a tractable level. In the proposed method, 3-D muscle structures are embedded inside a facial continuum (encompassing all superficial soft tissue structures), where mechanical contribution of muscles is evaluated independently and transferred to the facial computational domain through a finite element mapping procedure. Muscle forces are decomposed into an array of discrete point loads that are determined at the integration points of an appropriate quadrature scheme. As a result, muscle meshes can be constructed independent from the facial mesh giving two main advantages: (ⅰ) the muscle geometries can be refined independent of the facial computational domain, and (ⅱ) it is not required for the computational domain to conform to complex topology of muscle structures.
机译:人脸可以看作是具有大量肌肉组织投资网络的软组织器官复合体。由于其复杂性,大多数现有的计算模型都使用简单的几何形状(例如1-D曲线或原始3-D形状)来近似这些肌肉结构。本文提出了一种新方法,可以评估解剖学上准确的几何形状对肌肉的贡献,同时将计算复杂性保持在可处理的水平。在提出的方法中,将3-D肌肉结构嵌入面部连续体(包括所有浅表软组织结构)内部,其中,对肌肉的机械作用进行独立评估,并通过有限元映射过程将其转移到面部计算域。肌肉力分解为离散点载荷的阵列,这些载荷在适当的正交方案的积分点处确定。结果,可以独立于面部网格构造肌肉网格,具有两个主要优点:(ⅰ)可以独立于面部计算域来优化肌肉几何形状,并且(ⅱ)计算域不需要符合肌肉结构的复杂拓扑。

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