Stochastic optimisation for high-dimensional tracking in dense range maps

IEE Proceedings: Vision, Image and Signal Processing

Volumn 152, Issue 4, 2005, Pages 501-512

  Bray, M ^a   Koller Meier, E ^a   Muller P ^a   Schraudolph, N N ^b   Van Gool, L ^a,c  

^a ETH ZURICH   (Switzerland)

^b AUSTRALIAN NATIONAL UNIVERSITY   (Australia)

^c UNIVERSITY OF LEUVEN   (Belgium)

Author keywords

[No Author keywords available]

Indexed keywords

ANTHROPOMETRY; CONFORMAL MAPPING; CONSTRAINT THEORY; DEGREES OF FREEDOM (MECHANICS); MATHEMATICAL MODELS; OPTIMIZATION; ROBUSTNESS (CONTROL SYSTEMS); SAMPLING; STATE SPACE METHODS; THREE DIMENSIONAL;

3-D MODELS; ARTICULATED STRUCTURES; STOCHASTIC META-DESCENT (SMD); STOCHASTIC OPTIMIZATION;

STOCHASTIC PROGRAMMING;

EID: 24144494531     PISSN: 1350245X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1049/ip-vis:20045113     Document Type: Conference Paper

References (38)

1. Sidenbladh, H., Black, M.J., and Fleet, D.J.: 'Stochastic tracking of 3D human figures using 2D image motion', European Conf. on Computer Vision, 2000, pp. 702-718
2. Wu, Y., Lin, J.Y., and Huang, T.S.: 'Capturing natural hand articulation', Int. Conf. on Computer Vision, 2001, pp. 426-432
3. Deutscher, J., Blake, A., and Reid, I.: 'Articulated body motion capture by annealed particle filtering'. Int. Conf. on Computer Vision and Pattern Recognition, 2000, pp. 126-133
4. Sminchisescu, C., and Triggs, B.: 'Covariance scaled sampling for monocular 3D body tracking'. Int. Conf. on Computer Vision and Pattern Recognition, 2001, pp. 447-454
5. Rehg, J., and Kanade, T.: 'Model-based tracking of self-occluding articulated objects'. Int. Conf. on Computer Vision, 1995, pp. 612-617
6. Isard, M., and Blake, A.: 'Condensation - conditional density propagation for visual tracking', Int. J. Comput. Vis., 1998, 29, (1), pp. 5-28
7. Rosales, R., Athitsos, V., Sigal, L., and Sclaroff, S.: '3D hand pose reconstruction using specialized mappings'. Int. Conf. on Computer Vision, 2001, 1, pp. 378-385
8. Athitsos, V., and Sclaroff, S.: 'An appearance-based framework for 3D hand shape classification and camera viewpoint estimation'. Int. Conf. on Automatic Face and Gesture Recognition, 2002, pp. 40-45
9. Tomasi, C., Petrov, S., and Sastry, A.: '3D tracking = classification + interpolation'. Int. Conf. on Computer Vision, 2003, pp. 1441-1448
10. Stenger, B., Thayananthan, A., Torr, P., and Cipolla, R.: 'Filtering using a tree-based estimator'. Int. Conf. on Computer Vision, 2003, pp. 1063-1070
11. Stenger, B., Thayananthan, A., Torr, P., and Cipolla, R.: 'Hand pose estimation using hierarchical detection'. Int. Workshop on Human-Computer Interaction, 2004, pp. 102-112
12. Catmull, E.E.: 'A system for computer generated movies'. ACM Ann. Conf., August 1972, pp. 422-431
13. Magnenat-Thalmann, N., Laperrire, R., and Thalman, D.: 'Joint dependent local deformations for hand animation and object grasping'. Graphics Interface, 1988, pp. 26-33
14. Komatsu, K.: 'Human skin model capable of natural shape variation', The Vis. Comput., 1988, 4, (3), pp. 265-271
15. McDonald, J., Toro, J., Alkoby, K., Berthiaume, A., Chomwong, P., Christopher, J., Davidson, M., Furst, J., Konie, B., Lancaster, G., Lytinen, S., Roychoudhuri, L., Sedgwick, E., Tomuro, N., and Wolfe, R.: 'An improved articulated model of the human hand'. 8th Int. Conf. in Central Europe on Computer Graphics, Visualization and Interactive Digital Media, 2000, pp. 306-313
16. Lin, J., Wu, Y., and Huang, T.: 'Modeling human hand constraints'. ARL Federated Laboratory 5th Ann. Symp., 2001, pp. 105-110
17. Lewis, J.P., Cordner, M., and Fong, N.: 'Pose space deformations: A unified approach to shape interpolation and skeleton-driven deformation'. Ann. Conf. Ser., ACM SIGGRAPH, 2000
18. Mohr, A., and Gleicher, M.: 'Building efficient, accurate character skins from examples'. Ann. Conf. Ser., ACM SIGGRAPH, 2003, pp. 562-568
19. Buchholz, B., Armstrong, T., and Goldstein, S.: 'Anthropometric data for describing the kinematics of the human hand', Ergon., 1992, 35, (3), pp. 261-273
20. Koninckx, T., Griesser, A., and Van Gool, L.: 'Real-time range scanning of deformable surfaces by adaptively coded structured light'. 3DIM, 2003, pp. 293-300
21. Rusinkiewicz, S., Hall-Holt, O., and Levoy, M.: 'Real-time 3D model acquisition'. Proc. ACM SIGGRAPH, 2002, pp. 438-446
22. Besl, P., and McKay, H.: 'A method for registration of 3D shapes', IEEE Trans. Pattern. Anal. Mech. Intell., 1992, 14, pp. 239-256
23. Press, W., Flannery, B., Teukolsky, S., and Vetterling, W.: 'Numerical recipes in C' (Cambridge University Press, 1988)
24. Levenberg, K.: 'A method for the solution of certain non-linear problems in least squares', Q. J. Appl. Math., 1944, II, (2), pp. 164-168
25. Marquardt, D.: 'An algorithm for least-squares estimation of non-linear parameters', J. Soc. Ind. Appl. Math., 1963, 11, (2), pp. 431-441
26. Jacobs, R.: 'Increased rates of convergence through learning rate adaptation', Neural Netw., 1988, 1, pp. 295-307
27. Almeida, L.B., Langlois, T., and Amaral, J.D.: 'Parameter adaptation in stochastic optimization', in Saad, D. (Ed.): 'On-Line Learning in Neural Networks' (ser. Publications of the Newton Institute, Cambridge University Press, 1999), ch. 6, pp. 111-134
28. Kivinen, J., and Warmuth, M.K.: 'Additive versus exponentiated gradient updates for linear prediction'. Proc. 27th Ann. ACM Symp. on Theory of Computing, 1995, pp. 209-218
29. Harmon, M.E., and Baird, III, L.C.: 'Multi-player residual advantage learning with general function approximation'. Wright Laboratory, WL/AACF, Wright-Patterson Air Force Base, OH 45433-7308, Tech. Rep. WL-TR-1065, 1996
30. Sutton, R.S.: 'Gain adaptation beats least squares?'. Proc. 7th Yale Workshop on Adaptive and Learning Systems, 1992, pp. 161-166
31. Pearlmutter, B.A.: 'Fast exact multiplication by the Hessian', Neural Comput., 1994, 6, (1), pp. 147-160
32. Bertsekas, D.: 'Nonlinear Programming' (Athena Scientific, 2000)
33. Wachter, S., and Nagel, H.: 'Tracking persons in monocular image sequences', Comput. Vis. Image Underst., 1999, 74, (3), pp. 174-192
34. Girard, M., and Maciejewski, A.: 'Computational modeling for the computer animation of legged figures'. ACM SIGGRAPH, 1985, pp. 263-270
35. Sudarsky, S., and House, D.H.: 'An integrated approach towards the representation, manipulation and reuse of pre-recorded motion'. CA, 2000, pp. 56-61
36. Litwinowicz, P.C.: 'Inkwell: A 2.5d animation system'. SIGGRAPH, 1991, pp. 113-122
37. Bruderlin, A., and Williams, L.: 'Motion signal processing', Comput. Graph., 1995, 29, (Annual Conference Series), pp. 97-104
38. Bray, M., Koller-Meier, E., and Van Gool, L.: 'Smart particle filtering for 3D hand tracking'. Int. Conf. on Automatic Face and Gesture Recognition, 2004, pp. 675-680