Motion capture with constrained inverse kinematics for real-time hand tracking

Final Program and Abstract Book - 4th International Symposium on Communications, Control, and Signal Processing, ISCCSP 2010

Volumn , Issue , 2010, Pages

  Aristidou, Andreas ^a   Lasenby, Joan ^a  

^a UNIVERSITY OF CAMBRIDGE   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

ARTICULATED HAND TRACKING; FEASIBLE SET; FRAME RATE; GAME CONSOLES; HAND MODEL; HAND POSE; HAND TRACKING; MOTION CAPTURE; OPTICAL MOTION CAPTURE;

INVERSE KINEMATICS; KNOWLEDGE MANAGEMENT; SIGNAL PROCESSING; VIRTUAL REALITY;

HUMAN COMPUTER INTERACTION;

EID: 77953840583     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ISCCSP.2010.5463419     Document Type: Conference Paper

References (25)

1. Robert Y. Wang and Jovan Popovic. Real-time hand-tracking with a color glove. In ACM SIGGRAPH 2009, pages 1-8, New York, NY, USA, 2009. ACM.
2. Jonas Fredriksson, Sven Berg Ryen, and Morten Fjeld. Real-time 3d hand-computer interaction: optimization and complexity reduction. In Proceedings of the 5th Nordic conference on Human-computer interaction, pages 133-141, New York, NY, USA, 2008. ACM.
3. Cheng-Chang Lien and Chung-Lin Huang. Model-based articulated hand motion tracking for gesture recognition. Image and Vision Computing, 16(2):121-134, 1998.
4. Martin de La Gorce, Nikos Paragios, and David J. Fleet. Modelbased hand tracking with texture, shading and self-occlusions. In IEEE Conference on Computer Vision and Pattern Recognition, pages 1-8, June 2008.
5. Bjorn Stenger, Paulo R. S. Mendonça, and Roberto Cipolla. Model-based 3d tracking of an articulated hand. In IEEE Conference on Computer Vision and Pattern Recognition, volume 2, pages 310-315, Los Alamitos, CA, USA, 2001. IEEE Computer Society.
6. Björn Stenger, Arasanathan Thayananthan, Philip H.S. Torr, and Roberto Cipolla. Model-based hand tracking using a hierarchical bayesian filter. IEEE Trans. on Pattern Analysis and Machine Intelligence, 28(9):1372-1384, Sept. 2006.
7. Paris Kaimakis and Joan Lasenby. Gradient-based hand tracking using silhouette data. In Proc.of the 3rd International Symposium on Visual Computing (ISVC), volume I, pages 24-35, Lake Tahoe, NV/CA, USA, November 26-28 2007.
8. Paris Kaimakis and Joan Lasenby. Physiological modelling for improved reliability in silhouette-driven gradient-based hand tracking. In Proc. IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), pages 19-26, Miami, FL, USA, June 25 2009.
9. PhaseSpace Inc:. Optical motion capture systems, http://www.phasespace. com.
10. A. Balestrino, G. De Maria, and L. Sciavicco. Robust control of robotic manipulators. In Proc. of the 9th lFAC World Congress, volume 5, pages 2435-2440, 1984.
11. W. A. Wolovich and H. Elliott. A computational technique for inverse kinematics. The 23rd IEEE Conf. on Decision and Control, 23:1359-363, December 1984.
12. John Baillieul. Kinematic programming alternatives for redundant manipulators. In Proc. of the IEEE International Conf. on Robotics and Automation, volume 2, pages 722-728, March 1985.
13. Charles W. Wampler. Manipulator inverse kinematics solutions based on vector formulations and damped least-squares methods. IEEE Trans. on Systems, Man and Cybernetics, 16(1):93-101, 1986.
14. Y. Nakamura and H. Hanafusa. Inverse kinematic solutions with singularity robustness for robot manipulator control. Trans. ASME, J. of Dynamic Systems, Measurement, and Control, 108(3):163-171, September 1986.
15. Samuel R. Buss and Jin-Su Kim. Selectively damped least squares for inverse kinematics. J. of Graphics Tools, 10(3):37-49, 2005.
16. Alexandre N. Pechev. Inverse kinematics without matrix invertion. In Proc. of the 2008 IEEE International Conf. on Robotics and Automation, pages 2005-2012, Pasadena, CA, USA, May 19-232008.
17. Nicolas Courty and Elise Arnaud. Inverse kinematics using sequential monte carlo methods. In Proc. of the V Conf. on Articulated Motion and Deformable Objects, volume 5098, pages 1-10, Mallorca, Spain, 2008.
18. Chris Hecker, Bernd Raabe, Ryan W. Enslow, John Deweese, Jordan Maynard, and Kees van Prooijen. Real-time motion retargeting to highly varied user-created morphologies. ACM Trans. on Graphics (TOG), 27(3):1-11, 2008.
19. Robert W. Sumner, Matthias Zwicker, Craig Gotsman, and Jovan Popovic. Mesh-based inverse kinematics. ACM Transactions of Graphics, 24(3):488-495, 2005.
20. Kevin G. Der, Robert W. Sumner, and Jovan Popovic. Inverse kinematics for reduced deformable models. In ACM SIGGRAPH, pages 1174-1179, New York, NY, USA, 2006. ACM.
21. Li-Chun Tommy Wang and Chih Cheng Chen. A combined optimization method for solving the IK problems of mechanical manipulators. IEEE Trans. on Robotics and Automation, 7(4):489-499, 1991.
22. Chris Weiman. Inverse kinematics and geometric constraints for articulated figure manipulation. Master Dissertation, Simon Fraser University, Department of Computer Science, 1993.
23. Andreas Aristidou and Joan Lasenby. FABRIK: a fast, iterative solver for the inverse kinematics problem. Submitted to Graphical Models, February 2010.
24. Andreas Aristidou and Joan Lasenby. Inverse kinematics: A review of existing techniques and introduction of a new fast iterative solver. Technical Report F-INFENGlfR. 632, CUED, 2009.
25. Andreas Aristidou and Joan Lasenby. Real-time marker prediction and CoR estimation in optical motion capture. Submitted to Image and Vision Computing, February 2010.