Modeling deformable human hands from medical images
Modeling deformable human hands from medical images
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DOI：
10.1145/1028523.1028571
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发表时间：
2004-08
期刊：
影响因子：
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通讯作者：
T. Kurihara;N. Miyata
中科院分区：
文献类型：
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作者：
T. Kurihara;N. Miyata
提出了一种基于医学图像的可变形人手模型的构造方法。人手的真实感动画需要对关节结构进行良好的估计，并适当地加权基于子驱动的表面变形。为此，我们提出了一种方法的基础上，在几个姿势的手的医学图像。我们的方法包括以下3个步骤：首先，使用测量的骨骼形状，我们估计链接结构（关节旋转中心）和关节角度的每次扫描。其次，我们构建一个相互一致的多边形网格的所有扫描。为此，一个姿势的多边形网格，基础网格，使用骨架子空间变形变形，然后交互式地拟合到其他扫描的测量网格。最后，使用加权姿态空间变形来变形手。我们展示了由100，000个来自CT扫描的三角形网格组成的可变形手模型的结果。
This paper presents a new method for constructing an example-based deformable human hand model from medical images. Realistic animation of human hands requires good estimates of the joint structure and properly weighted skeleton-driven surface deformation. For this purpose, we propose a method based on medical images of hands in several poses. Our method consists of the following 3 steps: First, using the measured bone shapes, we estimate the link structure (joint rotation centers) and the joint angles of each scan. Second, we construct a mutually consistent polygonal mesh of all the scans. For this purpose, a polygonal mesh of one pose, the base mesh, is deformed using skeletal subspace deformation, and then fitted interactively to the measured meshes from the other scans. Finally, the hand is deformed using a weighted pose space deformation. We demonstrate results of deformable hand models consisting of 100,000 triangle meshes derived from CT scans.