Human motion reconstruction from sparse 3D motion sensors using kernel CCA-based regression

Computer Animation and Virtual Worlds

Volumn 24, Issue 6, 2013, Pages 565-576

  Kim, Jongmin ^a   Seol, Yeongho ^a   Lee, Jehee ^a  

^a Seoul National University   (South Korea)

Author keywords

machine learning; motion capture; motion reconstruction; performance animation; sensor

Indexed keywords

CHARACTER ANIMATION; HUMAN MOTION RECONSTRUCTION; ILL POSED PROBLEM; KERNEL CANONICAL CORRELATION ANALYSIS; MOTION CAPTURE; MOTION RECONSTRUCTION; PERFORMANCE ANIMATIONS; REAL TIME PERFORMANCE;

ANIMATION; INPUT OUTPUT PROGRAMS; LEARNING SYSTEMS; REGRESSION ANALYSIS; SENSORS;

THREE DIMENSIONAL;

EID: 84891019426     PISSN: 15464261     EISSN: 1546427X     Source Type: Journal    
DOI: 10.1002/cav.1557     Document Type: Article

References (26)

1. Chai J, Hodgins JK,. Performance animation from low-dimensional control signals. ACM Transactions on Graphics (SIGGRAPH 2005); 24 (3): 686-696.
2. Liu H, Wei X, Chai J, Ha I, Rhee T,. Realtime human motion control with a small number of inertial sensors, In Symposium on Interactive 3D Graphics and Games, San Francisco, USA, 2011; 133-140.
3. Feng W-W, Kim B-U, Yu Y,. Real-time data driven deformation using kernel canonical correlation analysis. ACM Transactions on Graphics (SIGGRAPH 2008); 27 (3): 1-9.
4. Badler NI, Hollick MJ, Granieri JP,. Real-time control of a virtual human using minimal sensors. Teleoperators and Virtual Environments 1993; 2: 82-86.
5. Shin HJ, Lee J, Shin SY, Gleicher M,. Computer puppetry: an importance-based approach. ACM Transactions on Graphics 2001; 20 (2): 67-94.
6. Yin K, Pai DK,. Footsee: an interactive animation system, In ACM SIGGRAPH / Eurographics Symposium on Computer Animation, San Diego, USA, 2003; 329-338.
7. Lee J, Chai J, Reitsma PSA, Hodgins JK, Pollard NS,. Interactive control of avatars animated with human motion data. ACM Transactions on Graphics (SIGGRAPH 2002); 21 (3): 491-500.
8. Slyper R, Hodgins J,. Action capture with accelerometers, In ACM SIGGRAPH / Eurographics Symposium on Computer Animation, Dublin, Ireland, 2008; 193-199.
9. Tautges J, Zinke A, Krüger B, Baumann J, Weber A, Helten T, Müller M, Seidel H-P, Eberhardt B,. Motion reconstruction using sparse accelerometer data. ACM Transactions on Graphics 2010; 30 (3): 18:1-18:12.
10. Huang H, Yin K, Zhao L, Qi Y, Yu Y, Tong X,. Detail-preserving controllable deformation from sparse examples. IEEE Transactions on Visualization and Computer Graphics 2012; 18 (8): 1215-1227.
11. Brand M, Hertzmann A,. Style machines, In Proceedings of the 27th Annual Conference on Computer Graphics and Interactive Techniques, Louisiana, USA, 2000; 183-192.
12. Shin HJ, Lee J,. Motion synthesis and editing in low-dimensional spaces: research articles. Computer Animation and Virtual Worlds 2006; 17 (3-4).
13. Liu G, Zhang J, Wang W, McMillan L,. Human motion estimation from a reduced marker set, In ACM Symposium on Interactive 3D Graphics and Games, Redwood, USA, 2006; 35-42.
14. Chai J, Hodgins JK,. Constraint-based motion optimization using a statistical dynamic model. ACM Transactions on Graphics (SIGGRAPH 2007); 26 (3). Article No.: 8.
15. Wei X, Chai J,. Intuitive interactive human character posing with millions of example poses. IEEE Computer Graphics and Applications 2009; 31 (4): 78-88.
16. Grochow K, Martin SL, Hertzmann A, Popovic̈ Z,. Style-based inverse kinematics. ACM Transactions on Graphics (SIGGRAPH 2004); 23 (3): 522-531.
17. Müller M, Röder T, Clausen M,. Efficient content-based retrieval of motion capture data. ACM Transactions on Graphics (TOG) 2005; 24 (3): 677-685.
18. Krüger B, Tautges J, Weber A, Zinke A,. Fast local and global similarity searches in large motion capture databases, In ACM SIGGRAPH/Eurographics Symposium on Computer Animation, 2010; 1-10.
19. InterSense. Is-900 system. http://www.intersense.com 1st July 2010.
20. Mount DM, Arya S,. Library for approximate nearest neighbor searching, 2010. http://www.cs.umd.edu/mount/ANN 1st July 2010.
21. Melzer T, Reiter M, Bischof H,. Appearance models based on kernel canonical correlation analysis. Pattern Recognition 2003; 36 (9): 1961-1971.
22. Davis T,. Umfpack version 5.6.1, 2012. http://www.cise.ufl.edu/research/ sparse 1st July 2010.
23. Lee J,. Representing rotations and orientations in geometric computing. IEEE Computer Graphics and Applications 2008; 28 (2): 75-83.
24. Lee Y, Kim S, Lee J,. Data-driven biped control. ACM Transactions on Graphics(SIGGRAPH 2010); 29: 129:1-129:8.
25. Duda RO, Hart PE, Stork DG,. Pattern Classification. Wiley-Interscience, New York. John Wiley & Sons, 2012.
26. Arya S, Mount DM, Netanyahu NS, Silverman R, Wu A,. An optimal algorithm for approximate nearest neighbor searching, In Proceedings of the Fifth Annual ACM-SIAM Symposium on Discrete Algorithms, Arlington, USA, 1994; 573-582.