Performance animation from low-dimensional control signals

Performance animation from low-dimensional control signals
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DOI:
10.1145/1073204.1073248
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发表时间:
2005-07-01
影响因子:
6.2
通讯作者:
Hodgins, JK
Hodgins, JK
中科院分区:
计算机科学1区
文献类型:
--
作者:
Chai, JX;Hodgins, JK

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本文介绍了一种使用摄像机和一小组反向反射标记来创建低成本,易于使用的系统的表演动画方法,该系统可能有一天会用于家庭使用。来自用户表现的低维控制信号由预先录制的人体运动数据库补充。在运行时,系统自动从一组动作捕捉示例中学习一系列局部模型,这些模型与摄像机捕获的标记位置非常匹配。这些局部模型然后被用来重建用户的运动作为一个全身动画。我们通过使用两个摄像机和一小组反向反射标记来实时控制六种不同的行为来展示这种方法的强大功能。我们将生成的动画与具有全套标记的商业动作捕捉设备的动画进行比较。
This paper introduces an approach to performance animation that employs video cameras and a small set of retro-reflective markers to create a low-cost, easy-to-use system that might someday be practical for home use. The low-dimensional control signals from the user's performance are supplemented by a database of pre-recorded human motion. At run time, the system automatically learns a series of local models from a set of motion capture examples that are a close match to the marker locations captured by the cameras. These local models are then used to reconstruct the motion of the user as a full-body animation. We demonstrate the power of this approach with real-time control of six different behaviors using two video cameras and a small set of retro-reflective markers. We compare the resulting animation to animation from commercial motion capture equipment with a full set of markers.