Michal Kawulok, D.Sc.
Assistant Professor
Institute of Informatics
Silesian University of Technology

Research Gate profile
DBLP profile
Google Scholar profile

Curriculum vitae

Research interests:

• face detection and recognition,
• gesture recognition,
• machine learning,
• support vector machines,
• evolutionary algorithms,
• medical imaging,
• image colorization.

D.Sc. title: Analysis of the local features similarity in digital images, applied to human skin detection and image colorization, 2015.

Ph.D. thesis: Selected methods for improving automatic face recognition effectiveness
(supervisor: prof. Bogdan Smolka), Gliwice 2007.

Managed research projects:

• Evolutionary methods for support vector machines training set optimization
• Hand detection and pose estimation for creating human-computer interaction

Most important papers:

1. M. Kawulok, J. Nalepa, and J. Kawulok, “Skin detection and segmentation in color images,” in Advances in Low-Level Color Image Processing, M. E. Celebi and B. Smolka, Eds., vol. 11 of Lecture Notes in Computational Vision and Biomechanics, pp. 329-366. Springer Netherlands, 2014.
2. M. Kawulok, J. Kawulok, and J. Nalepa. “Spatial-based skin detection using discriminative skin-presence features,” Pattern Recogn. Lett., vol. 41, pp. 3-13, 2014.
3. M. Kawulok, J. Kawulok, J. Nalepa, and M. Papiez, “Skin detection using spatial analysis with adaptive seed,” in Proc. IEEE Int. Conf. on Image Processing (ICIP 2013), 2013, pp. 3720-3724.
4. M. Kawulok, “Fast propagation-based skin regions segmentation in color images,” in Proc. IEEE FG, 2013, pp. 1-7.
5. M. Kawulok, J. Kawulok, and B. Smolka, “Discriminative textural features for image and video colorization,” IEICE Trans. on Information and Systems, vol. 95-D, no. 7, pp. 1722-1730, 2012.
6. M. Kawulok and J. Szymanek, “Precise multi-level face detector for advanced analysis of facial images,” Image Process., IET, vol. 6, no. 2, pp. 95-103, 2012.
7. M. Kawulok and J. Nalepa, “Support vector machines training data selection using a genetic algorithm,” in Statistical Techniques in Pattern Recognition, S+SSPR 2012, vol. 7626 of LNCS, pp. 557-565, Springer Berlin Heidelberg, 2012.
8. M. Kawulok and B. Smolka, “Texture-adaptive image colorization framework,” EURASIP J. on Advances in Signal Process., vol. 2011, no. 99, 2011.
9. M. Kawulok, J. Wu, and E.R. Hancock. “Supervised relevance maps for increasing the distinctiveness of facial images,” Pattern Recogn., vol. 44, no. 4, pp. 929-939, 2011.
10. M. Kawulok and B. Smolka, “Competitive image colorization,” in Proc. IEEE Int. Conf. on Image Process. (ICIP 2010), 2010, pp. 405-408.
11. M. Kawulok, “Energy-based blob analysis for improving precision of skin segmentation,” Multimed. Tools and Applications, vol. 49, no. 3, pp. 463-481,2010.
12. M. Kawulok, “Dynamic skin detection in color images for sign language recognition,” in Proc. ICISP, vol. 5099 of LNCS, pp. 112-119. Springer Berlin Heidelberg, 2008.
13. M. Kawulok, “Optimization of face relevance maps with total classification error minimization,” in Proc. ICIAR. 2008, vol. 5112 of LNCS, pp. 935-944, Springer Berlin Heidelberg.

For a full list of publications, please see my CV.

Other links:

• Hand gesture database
• Photography