Video input driven animation (VIDA)

Mengqin Sun, A. Jepson, E. Fiume
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引用次数: 41

Abstract

There are many challenges associated with the integration of synthetic and real imagery. One particularly difficult problem is the automatic extraction of salient parameters of natural phenomena in real video footage for subsequent application to synthetic objects. We can ensure that the hair and clothing of a synthetic actor placed in a meadow of swaying grass will move consistently with the wind that moved that grass. The video footage can be seen as a controller for the motion of synthetic features, a concept we call video input driven animation (VIDA). We propose a schema that analyzes an input video sequence, extracts parameters from the motion of objects in the video, and uses this information to drive the motion of synthetic objects. To validate the principles of VIDA, we approximate the inverse problem to harmonic oscillation, which we use to extract parameters of wind and of regular water waves. We observe the effect of wind on a tree in a video, estimate wind speed parameters from its motion, and then use this to make synthetic objects move. We also extract water elevation parameters from the observed motion of boats and apply the resulting water waves to synthetic boats.
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视频输入驱动动画(VIDA)
合成图像和真实图像的整合存在许多挑战。一个特别困难的问题是自动提取真实视频片段中自然现象的显著参数,以便随后应用于合成对象。我们可以确保将一个合成演员的头发和衣服放置在一片摇摆的草地上,并随着风移动草而移动。视频片段可以看作是合成特征运动的控制器,我们称之为视频输入驱动动画(VIDA)。我们提出了一种分析输入视频序列的模式,从视频中对象的运动中提取参数,并使用这些信息来驱动合成对象的运动。为了验证VIDA的原理,我们将反问题近似为谐波振荡,并利用它来提取风和规则水波的参数。我们在视频中观察风对树的影响,从它的运动中估计风速参数,然后用它来让合成物体移动。我们还从观测到的船只运动中提取水面高度参数,并将所得水波应用于合成船只。
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