Evaluation of on-line analytic and numeric inverse kinematics approaches driven by partial vision input

Virtual Reality

Volumn 10, Issue 1, 2006, Pages 48-61

  Boulic, Ronan ^a   Varona, Javier ^b   Unzueta, Luis ^c   Peinado, Manuel ^d   Suescun, Angel ^c   Perales, Francisco ^b  

^a EPFL   (Switzerland)

^b UNIVERSITAT DE LES ILLES BALEARS   (Spain)

^c CEIT   (Spain)

^d UNIVERSITY OF ALCALÁ   (Spain)

Author keywords

Inverse kinematics; Motion capture; On line image analysis

Indexed keywords

EID: 33646754204     PISSN: 13594338     EISSN: 14349957     Source Type: Journal    
DOI: 10.1007/s10055-006-0024-8     Document Type: Article

References (21)

1. Badler NI, Hollick MJ, Granieri JP (1993) Real-time control of a virtual human using minimal sensors. In: Presence 2(1), MIT Press, Cambridge, pp 82-86. ISSN 1054-7460
2. Baerlocher P, Boulic R (2004) An inverse kinematic architecture enforcing an arbitrary number of strict priority levels. Visual Comput 20(6):402-417
3. Bodenheimer R, Rose C, Rosenthal S, Pella J (1997) The process of motion capture: Dealing with the data. In: Proceedings of computer animation and simulation. Eurographics Association, pp 3-18
4. Boulic R, Mas R, Thalmann D (1996) A robust approach for the center of mass position control with inverse kinetics. J Comput Graph 20(5):693-701
5. Boulic R, Baerlocher P, Rodríguez I, Peinado M, Meziat D (2004) Virtual worker reachable space evaluation with prioritized inverse kinematics. In: Proceedings of the 35th international symposium on robotics, Paris, March 2004
6. Boulic R, Peinado M, Le Callennec B (2005) Challenges in exploiting prioritized inverse kinematics for motion capture and postural control. Lecture notes in artificial intelligence, Springer, Berlin Heidelberg New York
7. Bradski GR, Pisarevsky V (2000) Intel's computer vision library. In: Proceedings of the IEEE conference on computer vision and pattern recognition, CVPR00, vol 2, pp 796-797 pp 796-797
8. Chai J, Hodgins JK (2005) Performance animation from low-dimensional control signals. ACM Trans Graph 24(3):686-696
9. Grochow K, Martin SL, Hertzmann A, Popovic Z (2004) Style-based inverse kinematics. ACM Trans Graph 23(3):522-531
10. Horain P, Bomb M (2002) 3D model based gesture acquisition using a single camera. In: Proceedings of the sixth IEEE workshop on applications of computer vision, WACV02, pp 158-162
11. Jojic N, Turk M, Huang TS (1999) Tracking self-occluding articulated objects in dense disparity maps. In: Proceedings of the IEEE international conference on computer vision, ICCV99, vol 1, pp 123-130
12. Maciejewski AA (1990) Dealing with the ill-conditioned equations of motion for articulated figures. IEEE Comput Graph Appl 10(3):63-71
13. Moeslund TB, Granum E (2001) A survey of computer vision-based human motion capture. Comput Vis Image Underst 81(3):231-268 231-268
14. Molet T, Boulic R, Rezzonico S, Thalmann D (1999) An architecture for immersive evaluation of complex human tasks. IEEE Trans Rob Autom 15(3):475-485
15. O'Brien J, BodenHeimer RE, Brostow GJ, Hodgins JK (2000) Automatic joint parameter estimation from magnetic motion capture data. In: Proceedings of Graphics Interface, Morgan Kaufmann Publishers, Mosby, St. Louis, pp 53-60. ISBN 0-9695338-9-6
16. Sturman D (1998) Computer puppetry. IEEE Comput Graph Appl 18(1):38-45
17. Tolani D, Goswami A, Badler NI (2000) Real-time inverse kinematics techniques for anthropomorphic limbs. Graph Models 62(5):353-388
18. Unzueta L, Berselli G, Cazón A, Lozano A, Suescun Á (2005) Genetic algorithms application to the reconstruction of the human motion using a non-invasive motion capture. In: Multibody dynamics, ECCOMAS thematic conference, Madrid, Spain, 21-24 June 2005
19. Varona J, Buades JM, Perales FJ (2005) Hands and face tracking for VR applications. Comput Graph 29(2):179-187
20. Wang L, Hu W, Tan T (2003) Recent developments in human motion analysis. Pattern Recognit 36(3):585-601
21. Wren CR, Clarkson BP, Pentland AP (2000) Understanding purposeful human motion. In: Proceedings of the fourth IEEE international conference on automatic face and gesture recognition. IEEE Computer Society, Grenoble, pp 378-383. ISBN 0-7695-0580-5