期刊文献+

运动捕捉数据重用方法的研究 被引量:3

Research on Technologies of Motion Capture Data Reuse
下载PDF
导出
摘要 自从运动捕捉技术被引入计算机动画制作领域之后,以其真实准确的优点得到了迅速的推广,如今在人们生活的各个领域都能够看到运动捕捉技术的身影,然而该技术同样存在一些缺点,其中最主要的缺点就是运动捕捉的成本十分昂贵,因此如何更好的重用已有的捕捉数据成为计算机图形学研究的一大热点。本文将对现有的运动捕获数据重用技术进行详细的剖析和比较。我们这里所说的重用技术是指在只需要较少的人工交互的基础上对运动数据的重新使用。按照不同的原理和处理方法我们将这些运动数据重用技术分成了三大类:对运动捕捉数据的直接重用,对运动捕捉数据的间接重用和直接与间接相结合的重用方法。并对各种代表技术进行了论述,分析了这些技术的优劣和可能的改进方法。 With advantages of realism and accurcy, the Motion Capture technology achieves great rapid promotion. Since it has been introduced to computer animation, and we can see Motion Capture technology in many field of people's life. However, the technology also has some shortcomings, the most important one of Motion Capture is the high cost. So how to effciently reuse existing motion capture data has become a major focus in computer graphics research. This paper will analysis and compare the reuse technology of motion capture data in detailed. The reuse technology we talking about here refers to reusing motion data which only need much less artificial interactive. According to the principles and processing methods, we will divide the motion reusing into three major categories:the direct reuse of Motion Capture data; the indirect reuse Motion Capture data and the hybrid methods of the former two. we will mainly emphasize on various representative techniqes, and analyze their performance or possible improvements.
出处 《中国传媒大学学报(自然科学版)》 2007年第4期46-54,共9页 Journal of Communication University of China:Science and Technology
基金 国家自然科学基金(60403037)
关键词 运动捕捉 运动数据 运动数据重用 motion capturs motion data motion data reuse.
  • 相关文献

参考文献35

  • 1[1]A Bnlderlin,L Williams.Motion Siglal processing[J].SICGRARH 95 Conference Proceeding,Annual Conference Series.ACM SICCRAPH Addison Wesley,1995.
  • 2[2]Lee J H,Shin S Y.Muhireseoludon motiin arialysis with applications[J].In Proceedings of The International Workshop on Human Modeling and Animation,Seoul,2000.
  • 3[3]Calleartec B I,Boulic R.Interactive Motion Deformation with ptioritized Constraints[J].Proceedings of ACM SICCRAPH/Enrographics Symposium on Computer Animation,2004.
  • 4[4]Litwinowicz,P C Lrikwell.a 2.5-d animadon system[J],Computer Graphics,1991.
  • 5[5]Lee J H,Shin S Y.General construcdon of time-domain filters for orientation data[J].IEEE TransactionS on Visualization and Computer Graphics,2002,8(2):119-128.
  • 6[6]UNUMA M,ANJYO K,TEKEUCHI,R.Fourier pnnCipleS for emotion-based human figure animation.In Computer Graphics (Proceedings of SIGGRAPH 95),ACM SIGGRAPH,Annual Conference Series,91-96.
  • 7[7]A Witkin,M Kass.Spacedmeconstraints.Computer Graphics (SIGGRAPH ' 88Proceedings),volume 22,159-168,August1988.
  • 8[8]M Ghicher.Motion editing with spacetime constraints[J].Proceedings 1997 Symposium on Interae tive 3D Graphics,1997.
  • 9[9]Callennec B L,Boulic R.Interacdive Motion De formation with Ptioritized Constrainst[J].Ploceedings of ACM SIGGRAPH'2004.
  • 10[10]Cleicher M.Motion editing with spacetime consifanints[A].Sympositim on hteractive 3D Craphics[C],Previdence,Rhode Islana,1997.

同被引文献85

  • 1刘涛,孙守迁,潘云鹤.面向艺术与设计的虚拟人技术研究[J].计算机辅助设计与图形学学报,2004,16(11):1475-1484. 被引量:13
  • 2黄波士,陈福民.人体运动捕捉及运动控制的研究[J].计算机工程与应用,2005,41(7):60-63. 被引量:31
  • 3罗冠,郝重阳,张雯,樊养余.虚拟人技术研究综述[J].计算机工程,2005,31(18):7-9. 被引量:18
  • 4杨明辉,任维春,黄国满,管宏伟.摄影地形测量数据的三维融合和可视化[J].测绘科学,2007,32(1):9-10. 被引量:15
  • 5金小刚,鲍虎军,彭群生.计算机动画技术综述[J].软件学报,1997,8(4):241-251. 被引量:58
  • 6Seth Cooper, Aaron Hertzmann, Zoran Popovic. Active learning for real-time Motion controllers [J]. ACM Transactions on Graphics (S0730-()301), 2007, 26(3): Article No. 5: 1-7.
  • 7Adrian Treuille, Yongjoon Lee, Zoran Popovi6. Near-optimal character animation with continuous control [J]. ACM Transactions on Graphics (S0730-0301), 2007, 26(3), Article No. 7: 1-7.
  • 8James McCann, Nancy Pollard. Responsive characters from motion fragments [J]. ACM Transactions on Graphics (S0730-0301), 2007, 26(3), Article No. 6: 1-7.
  • 9Okan Arikan, David A. Forsyth, James F O'Brien. Pushing people around [C]// Eurographics/SIGGRAPH Symposium on Computer Animation. USA: ACM, 2005: 59-66.
  • 10KangKang Yin, Dinesh K. Pai, Michiel van de Panne. Data-driven interactive balancing behaviors [C]// Pacific Graphics 2005. China: Springer, 2005:118-121.

引证文献3

二级引证文献28

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部