论文标题
运动相似性建模 - 最先进的报告
Motion Similarity Modeling -- A State of the Art Report
论文作者
论文摘要
人类运动的分析开辟了广泛的可能性，例如逼真的训练模拟或机器人技术或动画中的真实动议。运动分析的基础问题之一是基于相似性措施的行动的有意义比较。由于运动分析依赖于应用程序，因此必须为特定用例找到适当的运动相似性方法。此最新报告的状态提供了人类运动分析和不同相似性建模方法的概述，而主要关注与3D运动数据一起使用的方法。该调查总结了运动的各种相似性方面和特征，并描述了测量两个动作之间相似性的方法。
The analysis of human motion opens up a wide range of possibilities, such as realistic training simulations or authentic motions in robotics or animation. One of the problems underlying motion analysis is the meaningful comparison of actions based on similarity measures. Since the motion analysis is application-dependent, it is essential to find the appropriate motion similarity method for the particular use case. This state of the art report provides an overview of human motion analysis and different similarity modeling methods, while mainly focusing on approaches that work with 3D motion data. The survey summarizes various similarity aspects and features of motion and describes approaches to measuring the similarity between two actions.
