基于奇异值分解的MOCAP数据数字水印

Yu-Chi Pu, Jui-Sheng Lin, Meei-Ling Hung, Bohua Chen, I. Jou
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引用次数: 2

摘要

根据计算机是越来越强大;计算机动画在游戏、娱乐、科学等领域有着广泛的应用。在制作计算机图形动画时,我们首先建立三维模型,然后将运动序列附加在这些模型上。关键帧设置或动作捕捉系统都可以帮助获得运动数据,两者都需要大量的工作。因此,运动数据成本高,需要版权保护。在本文中,我们将开发用于运动捕捉(MOCAP)数据的数字水印技术。在对MOCAP数据进行水印时,应该保留一些特征,例如铰接链路模型的物理特征。与图像、视频等其他水印应用相比,运动数据的水印对不可感知性的要求更高。考虑到运动中的时变和关节关系,采用奇异值分解来解决多变量问题。在仿真结果中,对运动数据进行了一些信号处理,验证了该方法的鲁棒性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Digital Watermarking of MOCAP Data Based on Singular Value Decomposition
According to the computer is more and more powerful; the computer animation is widely applied in the game, entertainment, and scientific fields. When making a computer graphics (CG) animation, firstly we build three-dimensional models, and then attach the motion sequences on these models. Either key-frame setup or motions capture systems can help to get the motion data, and both of they need considerable work. Thus, the motion data cost expensive, and need the copyright protection. In this paper, we'll develop the digital watermarking technology for the motion capture (MOCAP) data. When watermarking some characteristics of the MOCAP data such as the physical feature of an articulated link model should be maintained. The requirement of imperceptibility in watermarking motion data is higher than in other watermarking applications such as images or video. For considering both the time varying and joints relations in motion, we adopted the singular value decomposition to resolve the multiple variables problem. In simulation results, some signal processing of motion data has been used to verify the robustness.
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