Mutual information-based 3D object tracking

International Journal of Computer Vision

Volumn 78, Issue 1, 2008, Pages 107-118

  Panin, Giorgio ^a   Knoll, Alois ^a  

^a TECHNICAL UNIVERSITY OF MUNICH   (Germany)

Author keywords

3D tracking; B Spline interpolation; Multiresolution; Mutual information; Nonlinear optimization; Surface image alignment; Template matching

Indexed keywords

INFORMATION SYSTEMS; MATHEMATICAL MODELS; MULTIRESOLUTION ANALYSIS; OPTIMIZATION; REAL TIME SYSTEMS; ROBUSTNESS (CONTROL SYSTEMS);

MUTUAL INFORMATION; NONLINEAR OPTIMIZATION; SURFACE-IMAGE ALIGNMENT;

OBJECT RECOGNITION;

EID: 40449099601     PISSN: 09205691     EISSN: 15731405     Source Type: Journal    
DOI: 10.1007/s11263-007-0083-7     Document Type: Article

References (36)

1. Baker, S., & Matthews, I. (2004). Lucas-Kanade 20 years on: a unifying framework. International Journal of Computer Vision, 56(3), 221-255.
2. Black, M. J., & Jepson, A. D. (1996). Eigentracking: robust matching and tracking of articulated objects using a view-based representation. In European conference on computer vision (Vol. 1, pp. 329-342).
3. Brunelli, R., & Poggio, T. (1993). Face recognition: features versus templates. IEEE Transactions on Pattern Analysis and Machine Intelligence, 15(10), 1042-1052.
4. Cascia, M., Sclaroff, S., & Athitsos, V. (1999). Fast, reliable head tracking under varying illumination: an approach based on registration of texture-mapped 3d models.
5. Cootes, T. F., Edwards, G. J., & Taylor, C. J. (1998). Active appearance models. Lecture Notes in Computer Science, 1407, 484-498.
6. Cover, T. M., & Thomas, J. A. (1991). Elements of information theory. New York: Wiley.
7. Duda, R. O., & Hart, P. E. (1973). Pattern classification and scene analysis. New York: Wiley.
8. Fischler, M. A., & Bolles, R. C. (1981). Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography. Communications of the ACM, 24(6), 381-395.
9. Goldberg, D. E. (1989). Genetic algorithms in search, optimization, and machine learning. Reading: Addison-Wesley.
10. Gonzalez, R. C., & Woods, R. E. (2006). Digital image processing (3rd ed.). Upper Saddle River: Prentice-Hall.
11. Gorodnichy, D., Malik, S., & Roth, G. (2002). Affordable 3d face tracking using projective vision. In International conference on vision interfaces (pp. 383-390).
12. Hager, G. D., & Belhumeur, P. N. (1998). Efficient region tracking with parametric models of geometry and illumination. IEEE Transactions on Pattern Analysis and Machine Intelligence, 20(10), 1025-1039.
13. Huber, P. (1981). Robust statistics. New York: Wiley.
14. Kennedy, J., & Eberhart, R. (1995). Particle swarm optimization. In Proceedings of the IEEE international conference on neural networks (Vol. 4, pp. 1942-1948).
15. Lowe, D. G. (2004). Distinctive image features from scale-invariant keypoints. International Journal of Computer Vision, 60(2), 91-110.
16. Lu, L., Dai, X.-T., & Hager, G. (2004). A particle filter without dynamics for robust 3d face tracking. In Proceedings of the 2004 conference on computer vision and pattern recognition workshop (CVPRW'04) (Vol. 5, p. 70). Washington: IEEE Computer Society.
17. Maes, F., Collignon, A., Vandermeulen, D., Marchal, G., & Suetens, P. (1997). Multimodality image registration by maximization of mutual information. IEEE Transactions on Medical Imaging, 16(2), 187-198.
18. Marquardt, D. W. (1963). An algorithm for least-squares estimation of nonlinear parameters. j-J-SIAM, 11(2), 431-441.
19. Matthews, I., & Baker, S. (2003). Active appearance models revisited (Technical Report CMU-RI-TR-03-02). Robotics Institute, Carnegie Mellon University.
20. Nelder, J., & Mead, R. (1965). A simplex method for function minimization. Computer Journal, 7, 308-313.
21. Park, I. K., Zhang, H., Vezhnevets, V., & Choh, H.-K. (2004). Image-based photorealistic 3-d face modeling. In International conference on automatic face and gesture recognition (pp. 49-56).
22. Pluim, J. P. W., Maintz, J. B. A., & Viergever, M. A. (2003). Mutual-information-based registration of medical images: a survey. IEEE Transactions on Medical Imaging, 22(8), 986-1004.
23. Principe, J., Xu, D., & Fisher, J. (1999). Information theoretic learning. In S. Haykin (Ed.), Unsupervised adaptive filtering. New York: Wiley.
24. Shi, J., & Tomasi, C. (1994). Good features to track. In IEEE conference on computer vision and pattern recognition (CVPR'94), Seattle, June 1994.
25. Skrypnyk, I., & Lowe, D. G. (2004). Scene modelling, recognition and tracking with invariant image features. In ISMAR '04: proceedings of the third IEEE and ACM international symposium on mixed and augmented reality (ISMAR'04) (pp. 110-119), Washington, DC, USA. Los Alamitos: IEEE Computer Society.
26. Thevenaz, P., & Unser, M. (2000). Optimization of mutual information for multiresolution image registration. IEEE Transactions on Image Processing, 9(12), 2083-2099.
27. Toyama, K. (1998). Look, ma-no hands!' hands-free cursor control with real-time 3d face tracking. In Proceedings of the workshop on perceptual using interfaces (PUI'98) (pp. 49-54), San Francisco.
28. Toyama, K., & Hager, G. (1996). Incremental focus of attention for robust visual tracking. International Journal on Computer Vision, 35(1), 45-63.
29. Unser, M. (1999). Splines: a perfect fit for signal and image processing. IEEE Signal Processing Magazine, 16(6), 22-38. IEEE Signal Processing Society's 2000 magazine award.
30. Unser, M., Aldroubi, A., & Eden, M. (1993). B-spline signal processing: part I: theory. IEEE Transactions on Signal Processing, 41(2), 821-833.
31. Unser, M., Aldroubi, A., & Eden, M. (1993). B-spline signal processing, part II: efficient design and applications. IEEE Transactions on Signal Processing, 41(2), 834-848.
32. 2-polynomial spline pyramid. IEEE Transactions on Pattern Analysis and Machine Intelligence, 15(4), 364-379.
33. Vacchetti, L., & Lepetit, V. (2004). Stable real-time 3d tracking using online and offline information. IEEE Transactions on Pattern Analysis and Machine Intelligence, 26(10), 1385-1391.
34. Viola, P. A., & Jones, M. J. (2001). Robust real-time face detection. In International conference on computer vision (p. 747).
35. Wells, W., Viola, P., Atsumi, H., Nakajima, S., & Kikinis, R. (1996). Multi-modal volume registration by maximization of mutual information.
36. Xiao, J., Baker, S., Matthews, I., & Kanade, T. (2004). Real-time combined 2d∈+∈3d active appearance models. In CVPR (pp. 535-542).