人体运动捕获数据的重用技术综述  

Survey on Reuse of Human Motion Capture Data

作　　者：孙怀江[1] 夏贵羽 张国庆[1] 封磊[1] 

机构地区：[1]南京理工大学计算机科学与工程学院,南京210094

出　　处：《数据采集与处理》2017年第1期1-16,共16页Journal of Data Acquisition and Processing

摘　　要：人体运动捕获数据作为一种新型的多媒体数据,因其高度的逼真性,已经在多个领域得到了广泛的应用。但运动捕获设备的高昂价格导致运动捕获数据使用的成本过高,所以运动重用技术就成为解决这一问题的有效手段。可是运动捕获数据复杂的结构和特性给运动重用带来了很大的挑战,尽管已经过多年的研究,但仍然有很多尚未解决的问题,需要研究人员更多的关注和研究投入。本文针对运动重用过程中各个环节的重要技术,从研究的意义、问题的难点、现有方法思路及使用的模型等多个角度进行了介绍,并针对一些具有代表性的方法做了较为详细的描述。最后总结了现有运动捕获数据重用技术的研究进展,展望了未来的发展趋势。本文旨在引起人们对该领域的深入思考,并为以后的研究提供有价值的参考。Human motion capture data,as a new type of multimedia data,is widely used in many areas because of its high fidelity,but the expensive motion capture equipment yields the high cost of the use of motion capture data.Therefore,the technologies of motion capture data reuse become the effective means to solve the problem.However,the complex structure and characteristics of motion capture data make the motion capture data reuse challenging.Even it has been researched for many years,there are still many problems to be solved and more attentions and research efforts are needed.In this paper,in terms of the important technologies used in the process of motion capture data reuse,we give introductions on the research significance,difficulties,strategy and used models of current methods and so on.And we give a detailed description on some representative methods.Finally,we conclude the research advances of motion capture data reuse and discuss the possible directions for future works.This aims to cause the deep thinking of this field and provides a valuable reference for the future research.

关 键 词：人体运动 计算机动画 运动捕获 运动重用 机器学习 

分 类 号：TP39[自动化与计算机技术—计算机应用技术]