期刊文献+

基于独立时空特征空间的人体运动合成 被引量:10

Human Motion Synthesis Based on Independent Spatio-Temporal Feature Space
下载PDF
导出
摘要 如何通过指定约束条件的方式交互式地合成风格化人体运动是计算机动画研究领域的热点和难点,传统的数据驱动办法通常没有全面考虑运动的静态和动态特性.针对这一问题,文中提出人体运动的独立时空特征空间模型,利用一个可变形运动模型和独立特征子空间分析算法提取运动在时空两个域上的特征,并将其封装起来,通过低维子空间进行描述.运动风格的编辑可利用低维运动混合和空时约束优化等方法来实现.该方法充分考虑了运动在时域上的特征,并为用户提供了可编辑接口.文中以各种风格的行走运动为例讨论了该方法的有效性,结果证明效果良好,可用于交互式运动风格编辑. It is still a challenge to generate interactively stylistic human motions satisfying userdefined constraints in computer graphics community. Previous works failed to generate stylistic human motions with both geometric and timing features. As a solution to this problem, a motion model called Independent Spatio-temporal Feature Space is presented in this paper. This model encapsulates spatio-temporal features for motion style which can be extracted from a deformable motion model with an unsupervised machine learning techniques-independent feature subspaee analysis. The spatio-temporal features are described as several low-dimensional subspaces. Motion style editing is subsequently achieved by blending low-dimensional parameters or solving space-time constrained optimization. Both geometric and timing features are considered in this work and a directly interactive interface is provided. The power and flexibility of this method are demonstrated by taking locomotion as examples. The experimental results show that this method is fast and effeetive for interactive motion style editing.
出处 《计算机学报》 EI CSCD 北大核心 2011年第3期464-472,共9页 Chinese Journal of Computers
基金 国家自然科学基金(61003197)资助~~
关键词 独立时空特征子空间 可变形运动模型 独立特征子空间分析 人体运动 风格 主成分分析 independent spatio-temporal feature space deformable motion model independent feature subspace analysis human motion style principal component analysis
  • 相关文献

参考文献19

  • 1Kawasaki R,Kitamura Y,Kishino F.Extraction of motion individuality in sports and its application to motion of characters with different figures//Proceedings of the Computer Graphics International.Washington:IEEE Computer Society,2003:306-311. 被引量:1
  • 2Liu C K,Hertzmann A,Popovic Z.Learning physics-based motion style with nonlinear inverse optimization.ACM Transactions on Graphics,2005,24(3):1071-1081. 被引量:1
  • 3Brand M,Hertzmann A.Style machines//computer Graphics Proceedings,Annual Conference Series,ACM SIGGRAPH:Computer Graphics.New Orleans:ACM Press,2000:183-192. 被引量:1
  • 4Hsu E,Pulli K,Popovie J.Style translation for human motion.ACM Transactions on Graphics,2005,24(3):1082-1089. 被引量:1
  • 5Urtasun R,Glardon P,Boulic R et al.Style based motion synthesis.Computer Graphics Forum,2004,23(4):1-14. 被引量:1
  • 6李淳芃,王兆其,夏时洪.人体运动的函数数据分析与合成[J].软件学报,2009,20(6):1664-1672. 被引量:22
  • 7Shapiro A,Caoo Y.and Faloutsos P.Style components//Procecdings of the Conference on Graphics Interface.Toronto Canadian Information Processing Society,2006:33-39. 被引量:1
  • 8Kovar L,Gleicher M.Automated extraction and parameterization of motions in large data sets.ACM Transactions on Graphics,2004,23(3):559-568. 被引量:1
  • 9Grochow K,Martin S L,Hertzmann A,Popovic Z.Stylebased inverse kinematics.ACM Transactions on Graphics,2004,23(3):522-531. 被引量:1
  • 10李淳芃,王兆其,夏时洪,朱登明.基于局部支撑姿态的逆运动学求解[J].计算机学报,2007,30(11):1982-1988. 被引量:9

二级参考文献33

  • 1Unuma M, Anjyo K, Takeuchi R. Fourier principles for emotion-based human figure animation [C] //Computer Graphics Proceedings, Annual Conference Series, ACM SIGGRAPH, Los Angeles, 1996:91-96. 被引量:1
  • 2Bruderlin A, Williams L. Motion signal processing [C] //Computer Graphics Proceedings, Annual Conference Series, ACM SIGGRAPH, Los Angeles, 1995:97-104. 被引量:1
  • 3Amaya K, Bruderlin A, Calvert T. Emotion from motion [C] //Proceedings of Graphics Interface, Toronto, 1996,, 222-229. 被引量:1
  • 4Hsu E, Pulli K, Popovic J. Style translation for human motion [J].ACM Transactions on Graphics, 2005, 24 (3) 1082-1089. 被引量:1
  • 5Brand M, Hertzmann A. Style machines [C] //Computer Graphics Proceedings, Annual Conference Series, ACM SIGGRAPH, New Orleans, 2000:183-192. 被引量:1
  • 6Urtasun R, Glardon P, Boulic R, et al. Style-based motion synthesis [J]. Computer Graphics Forum, 2004, 23 (4):799-812. 被引量:1
  • 7Shapiro A, Cao Y, Faloutsos P. Style components [C] // Proceedings of Graphics Interface, Quebec City, 2006: 33-39. 被引量:1
  • 8Wang J M, Fleet D J, Hertzmann A. Gaussian process dynamical models for human motion [J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2008, 30 (2): 283-298. 被引量:1
  • 9Kovar L, Gleicher M. Automated extraction and parameterization of motions in large data sets[J]. ACM Transactions on Graphics, 2004, 23(3): 559-568. 被引量:1
  • 10Grochow K, Martin S L, Hertzmann A, et al. Style based inverse kinematics[J].ACM Transactions on Graphics, 2004, 23(3): 522-531. 被引量:1

共引文献30

同被引文献192

  • 1吴小,马利庄,郑灿,陈彦云.实时人体运动风格传输算法[J].系统仿真学报,2006,18(z1):393-395. 被引量:1
  • 2Kovar L, Gleicher M, Pighin F. Motion graphs [J]. ACM Transactions on Graphics, 2002, 21(3) : 473-482. 被引量:1
  • 3Kovar L, Gleicher M. Flexible automatic motion blending with registration curves [C] //Proceedings of the ACM SIGGRAP H/Eurographics Symposium on Computer Animation. Aire-la-Ville: Eurographics Association Press, 2003:214-224. 被引量:1
  • 4Min J Y, Chen Y L, Chai J X. Interactive generation of human animation with deformable motion models [J]. ACM Transactions on Graphics, 2009, 29(1) : Article No. 9. 被引量:1
  • 5Park S I I, Shin H J, Kim T H, et al. On-line motion blending for real-time locomotion generation [J]. Computer Animation 8: Virtual Worlds, 2004, 15(3/4) : 125-138. 被引量:1
  • 6Heck R, Gleicher M. Parametric motion graphs [C] // Proceedings of the Symposium on Interactive 3D Graphics and Games. New York: ACM Press, 2007:129-136. 被引量:1
  • 7Kwon T, Shin S Y. Motion modeling for on-line locomotion synthesis[C] //Procedings of the ACM SIGGRAPH/ Eurographics Symposium on Computer Animation. New York: ACM Press, 2005: 29-38. 被引量:1
  • 8Kovar L, Gleicher M. Automated extraction and parameterization of motions in large data sets [J]. ACM Transactions on Graphics, 2004, 23(3): 559-568. 被引量:1
  • 9Shin H J, Lee J. Motion synthesis and editing in low- dimensional spaces [J].Computer Animation : Virtual Worlds, 2006, 17(3/4) : 219-227. 被引量:1
  • 10Zou H, Hastie T, Tibshirani R. Sparse principal component analysis [J]. Journal of Computational and Graphical Statistics, 2006, 15(2): 265-286. 被引量:1

引证文献10

二级引证文献32

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