Interactive steering of mesh animations
Interactive steering of mesh animations
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DOI：
10.2312/sca/sca12/053-058
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发表时间：
2012-07
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影响因子：
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通讯作者：
Anna Vögele;M. Hermann;Björn Krüger;R. Klein
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文献类型：
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作者：
Anna Vögele;M. Hermann;Björn Krüger;R. Klein
在数字内容创建中，创建几何细节网格动画是一个复杂且资源密集的过程。在这项工作中，我们提出了一种方法来快速联合收割机可用的稀疏运动捕捉数据与现有的网格序列，以产生大量的各种新的动画。其关键思想是通过基于部件的统计形状模型来建模与动画对象的姿态相关的形状变化。我们观察到，紧凑的线性模型足以分割成几乎刚性的部分。相同的分割进一步引导结合标记移动学习的姿态的参数化。除了固有的高几何细节，所提出的方法的进一步的好处来自其对分割和姿态参数化中的错误的鲁棒性。由于学习和合成阶段的效率，我们的模型允许基于从视频数据或输入设备（如Kinect传感器）中提取的少量标记交互式地操纵虚拟化身。
Creating geometrically detailed mesh animations is an involved and resource-intensive process in digital content creation. In this work we present a method to rapidly combine available sparse motion capture data with existing mesh sequences to produce a large variety of new animations. The key idea is to model shape changes correlated to the pose of the animated object via a part-based statistical shape model. We observe that compact linear models suffice for a segmentation into nearly rigid parts. The same segmentation further guides the parameterization of the pose which is learned in conjunction with the marker movement. Besides the inherent high geometric detail, further benefits of the presented method arise from its robustness against errors in segmentation and pose parameterization. Due to efficiency of both learning and synthesis phase, our model allows to interactively steer virtual avatars based on few markers extracted from video data or input devices like the Kinect sensor.