Automated body modeling from video sequences

Ralf Plänkers, Pascal. Fua, Ralf. Plaenkers, Pascal. Fua
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引用次数: 48

Abstract

Synthetic modeling of human bodies and the simulation of motion is a long-standing problem in animation and much work is involved before a near-realistic performance can be achieved. At present, it takes an experienced designer a very long time to build a complete and realistic model that closely resembles a specific person. Our ultimate goal is to automate the process and to produce realistic animation models given a set of video sequences. In this paper we show that, given video sequences of a person moving in front of the camera, we can recover shape information and joint locations. Both of which are essential to instantiate a complete and realistic model that closely resembles a specific person and without knowledge about the position of the articulations a character cannot be animated. This is achieved with minimal human intervention. The recovered shape and motion parameters can be used to reconstruct the original movement or to allow other animation models to mimic the subject's actions.
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从视频序列自动身体建模
人体的合成建模和运动的模拟是动画中一个长期存在的问题,在实现接近真实的表现之前需要做很多工作。目前,一个有经验的设计师需要很长时间才能建立一个完整的、逼真的、与特定人物非常相似的模型。我们的最终目标是自动化的过程,并产生逼真的动画模型给定一组视频序列。在本文中,我们证明,给定一个人在摄像机前移动的视频序列,我们可以恢复形状信息和关节位置。这两者都是必要的实例化一个完整的和现实的模型,非常类似于一个特定的人,没有关于关节的位置的知识,一个角色不能动画。这是在最少的人为干预下实现的。恢复的形状和运动参数可用于重建原始运动或允许其他动画模型来模仿主体的动作。
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