This paper presents an example-based method for calculating skeleton-driven body deformations. Our example data consists of range scans of a human body in a variety of poses. Using markers captured during range scanning, we construct a kinematic skeleton and identify the pose of each scan. We then construct a mutually consistent parameterization of all the scans using a posable subdivision surface template. The detail deformations are represented as displacements from this surface, and holes are filled smoothly within the displacement maps. Finally, we combine the range scans using k-nearest neighbor interpolation in pose space. We demonstrate results for a human upper body with controllable pose, kinematics, and underlying surface shape.
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机译：本文提出了一个基于实例的方法来计算骨骼驱动的身体变形。我们的示例数据包括以各种姿势对人体进行的距离扫描。使用在距离扫描过程中捕获的标记，我们构建了运动学骨架，并确定每次扫描的姿势。然后，我们使用可能的细分曲面模板构建所有扫描的相互一致的参数化。细节变形表示为从该表面的位移，并且在位移图中将孔平滑填充。最后，我们在姿势空间中使用 k -最近邻插值来组合范围扫描。我们展示了具有可控姿势，运动学和下层表面形状的人体上半身的结果。
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