The space of human body shapes: reconstruction and parameterization from range scans
The space of human body shapes: reconstruction and parameterization from range scans
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DOI：
10.1145/882262.882311
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发表时间：
2003-07-01
影响因子：
6.2
通讯作者：
Popovic, Z
中科院分区：
文献类型：
--
作者：
Allen, B;Curless, B;Popovic, Z
我们开发了一种新的方法来拟合高分辨率模板网格，以详细的人体范围扫描与稀疏的3D标记。我们提出了一个自由度为模板顶点仿射变换的优化问题。目标函数是三个度量的加权组合：转换后的顶点与距离数据的接近度，相邻转换之间的相似性，以及模板和目标表面上相应位置的稀疏标记的接近度。我们用非线性优化器求解变换，在两种分辨率下运行以加快收敛速度。我们展示了250个人体模型的重建和一致的参数化。利用这个参数化集，我们探索了人体建模的各种应用，包括：变形、纹理转移、形状统计分析、稀疏标记的模型拟合、特征分析以修改多个相关参数（如个体的体重和身高）、表面细节和动画控制从模板转移到拟合模型。
We develop a novel method for fitting high-resolution template meshes to detailed human body range scans with sparse 3D markers. We formulate an optimization problem in which the degrees of freedom are an affine transformation at each template vertex. The objective function is a weighted combination of three measures: proximity of transformed vertices to the range data, similarity between neighboring transformations, and proximity of sparse markers at corresponding locations on the template and target surface. We solve for the transformations with a non-linear optimizer, run at two resolutions to speed convergence. We demonstrate reconstruction and consistent parameterization of 250 human body models. With this parameterized set, we explore a variety of applications for human body modeling, including: morphing, texture transfer, statistical analysis of shape, model fitting from sparse markers, feature analysis to modify multiple correlated parameters (such as the weight and height of an individual), and transfer of surface detail and animation controls from a template to fitted models.