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Computer Vision [CV]


Dates & Rooms:
Wednesday, 14:00 - 15:30; Room: 09.150

The main theme for the Computer Vision Colloquium during the Winter Semester 2008-2009 will be Sensor Fusion. It is a continuation of the Summer Semester 2008 Colloquium. We will be discussing well-known methodologies for sensor fusion including: classifier ensembles, boosting, fuzzy techniques for combining classifiers, the Dempster-Shafer method, Belief propagation, neural networks etc.


 Meeting Time and Place: Unless otherwise specified, the colloquium meets every Wednesday 14:00 - 15:30 at  the LME Seminar room 09.150.


Scheduled Discussion Topics


DateTopicPapers for Discussion or Discussion Leader
27. AugustMultisensor Fusion J. K. Hackett and M. Shah, "Multi-sensor Fusion: a Perspective," International Conference on Robotics and Applications, pp. 1324-1330, 1990.
3. SeptemberC A N C E L L E D
10. September

Classifier Fusion

D. Ruta and B. Gabrys, "An Overview of Classifier Fusion Methods," Computing and Information Systems, Vol. 7, No. 1, pp. 1-10,2000.

17. SeptemberClassifier Ensembles

R. Polikar, "Bootstrap-Inspired Techniques in Computation Intelligence," IEEE Signal Processing Magazine, pp. 59-72, 2007.

N. C. Oza and K. Tumer, "Classifier Ensembles: Select Real-World Applications," Information Fusion, Vol. 9, No. 1, pp. 4-20, 2008.

24. September

Special Meeting Place: ISA House, Haberstr. 2

Viola-Jones Detector (by popular demand)

P. Viola and M. Jones, "Robust Real-Time Face Detection," International Journal of Computer Vision, Vol. 57, No. 2, pp. 137-154, 2004.

P. Viola, M. Jones and D. Snow, "Detecting Pedestrians Using Patterns of Motion and Appearance," International Journal of Computer Vision, Vol. 63, No. 2, pp. 153-161, 2005.

1. OctoberFuzzy Classifier Fusion

L. I. Kuncheva, "'Fuzzy' versus 'Nonfuzzy' in Combining Classifiers Designed by Boosting," IEEE Transactions on Fuzzy Systems, Vol. 11, No. 6, pp. 729-741, 2003.

8. OctoberDempster-Shafer

R. R. Yager, "On the Dempster-Shafer Framework and New Combination Rules", Information Sciences, Vol. 41, No. 2, pp. 93-137, 1987.

R. R. Murphy, "Dempster-Shafer Theory for Sensor Fusion in Autonomous Mobile Robots," IEEE Transcations on Robotics and Automation, Vol. 14, No. 2, pp. 197-206, 1998.

15. OctoberImage Level FusionZ. Zhang and R. S. Blum, "A Categorization of Multiscale-decomposition-based Image Fusion Schemes with a Performance Study for a Digital Camera Application," Proceedings of the IEEE, Vol. 87, No. 8, pp. 1315-1326, 1999.
22. OctoberImage Level Fusion and WaveletsH. Li, B.S. Majunath and S.K. Mitra, "Multi-sensor Image Fusion using the Wavelet Transform", International Conference on Image Processing, pp. 13-16, 1994.
29. OctoberSensor Fusion and Belief PropagationI. Bloch, "Information Combination Operators for Data Fusion: a Comparative Review with Classification," IEEE Transactions on Systems, Man and Cybernetics, Vol. 26, No. 1, pp. 52-67, 1996.
5. NovemberSensor Fusion and Neural Nets

K . Tumer and J. Ghosh, "Analysis of Decision Boundaries in Linearly Combined Neural Classifiers," Pattern Recognition, Vol. 29, No. 2, pp. 341-348, 1996.

S. B. Cho and J. H. Kim, "Multiple Network Fusion using Fuzzy Logic," IEEE Transactions on Neural Networks, Vol. 6, No. 2, pp. 497-501, 1995.