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Optic-Flow Based Motion Analysis for Animation

机译:基于光学流的动画运动分析

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摘要

Creating graphics animations is often a tedious process that requires days of content creation to make even a short video. In this work, we investigate the role of optic flow in making it easier to automate certain steps in creating animated clips. More specifically, we look into how optic flow can be used to detect and model natural events, such as, waterfall, rainfall, snowfall and so on. An algorithm that can not only detect 2D flow, but also track feature points reliably over video frames is described; followed by experimental results demonstrating its ability in motion analysis and motion synthesis. An example of the steps involved in creating a short animation is also outlined.
机译:创建图形动画通常是一个繁琐的过程,需要数天的内容创建才能制作简短的视频。在这项工作中,我们研究了光流在简化制作动画剪辑的某些步骤的自动化过程中的作用。更具体地说,我们研究如何将光流用于检测和建模自然事件,例如瀑布,降雨,降雪等。描述了一种不仅可以检测2D流,而且可以在视频帧上可靠地跟踪特征点的算法;随后的实验结果证明了其在运动分析和运动合成方面的能力。还概述了创建短动画的步骤示例。

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