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Surface motion graphs for character animation from 3D video

机译:用于3D视频中角色动画的表面运动图

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Multiple view reconstruction of human performance as a 3D video has advanced to the stage of capturing detailed non-rigid dynamic surface shape and appearance of the body, clothing and hair during motion [Aguiar et al. 2008; Starck and Hilton 2007]. Full 3D video scene capture holds the potential to create truly realistic synthetic animated content by reproducing the dynamics of shape and appearance currently missing from marker-based motion capture. However, the acquisition results are in an unstructured volumetric or mesh approximation of the surface shape at each frame without temporal correspondence, which makes the reuse of this kind of data more challenging than conventional mocap data. In this paper, we introduce a framework that automatically constructs motion graphs for 3D video sequences and synthesizes novel animations to best satisfy user specified constraints on movement, location and timing.
机译:作为3D视频的人的行为的多视图重建已进入捕获运动过程中身体,衣服和头发的详细的非刚性动态表面形状和外观的阶段[Aguiar等。 2008年; Starck and Hilton 2007]。完整的3D视频场景捕获通过再现当前基于标记的运动捕获中缺少的形状和外观的动态变化,具有创建真实逼真的合成动画内容的潜力。但是,获取结果是在没有时间对应的情况下,每一帧的表面形状都具有非结构化的体积或网格近似,这使得此类数据的重用比常规的Mocap数据更具挑战性。在本文中,我们介绍了一个框架,该框架可以自动构造3D视频序列的运动图并合成新颖的动画,以最好地满足用户指定的运动,位置和时间限制。

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