A Layered Model of Human Body and Garment Deformation
A Layered Model of Human Body and Garment Deformation
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DOI：
10.1109/3dv.2014.52
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发表时间：
2014-12
期刊：
影响因子：
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通讯作者：
A. Neophytou;A. Hilton
中科院分区：
文献类型：
--
作者：
A. Neophytou;A. Hilton
在本文中，我们提出了一个学习人体外形、姿势和服装变形三层模型的框架。提出的变形模型提供了对这三个参数的直观控制，同时产生了令人愉悦的服装和人体变形。模型的形状和姿势变形层在人体受试者以各种姿势进行的全身3D扫描的丰富数据集上进行训练。服装变形层是在着装演员的动画网格序列上进行训练的，并依赖于一种新的技术来估计服装下的人体形状和姿势。本文的主要贡献在于，我们将服装变形看作是同一对象的裸露网格和修饰网格之间的剩余变换。
In this paper we present a framework for learning a three layered model of human shape, pose and garment deformation. The proposed deformation model provides intuitive control over the three parameters independently, while producing aesthetically pleasing deformations of both the garment and the human body. The shape and pose deformation layers of the model are trained on a rich dataset of full body 3D scans of human subjects in a variety of poses. The garment deformation layer is trained on animated mesh sequences of dressed actors and relies on a novel technique for human shape and posture estimation under clothing. The key contribution of this paper is that we consider garment deformations as the residual transformations between a naked mesh and the dressed mesh of the same subject.