prof. Ing. Václav Hlaváč, CSc.
|Místnost||B-610, Jugoslavskych partyzanu 3, 160 00 Praha 6|
|vaclav.hlavac (at) cvut.cz|
In winter semester: Digital image processing (FEL ČVUT, master program Open informatics, 1st year); Image analysis (FBMI ČVUT in Kladno, master program Biomedical engineering); Computer vision and virtual reality (MFF Charles University, facultative subject).
In summer semester: Intelligent robotics (FEL ČVUT, master program Cybernetics and Robotics); Statistical pattern recognition (FEL ČVUT, for doctoral students).
1981 MSc. in control engineering ČVUT in Prague; 1987 Ph.D. in engineering cybernetics from ČVUT;
(out of about 150 papers and three books, Hirsch index 9 in WoS)
Schlesinger M.I., Hlaváč V.: Ten lectures on statistical and syntactic pattern recognition, Kluwer Academic Publishers, Dordrecht, The Netherlands, 2002, 521 p.; Russian translation 2004.
Šonka M., Hlaváč, V., Boyle R.: Image Processing, Understanding, and Machine Vision, 4th edition Cengage Learning 2015, pp. 912 (1st edition Chapman & Hall, London 1993; 2nd edition PWS Boston, 1998, 3rd edition Thomson, Toronto 2008; Chinese translation 2003).
Antoniuk K., Franc V., Hlaváč V.: V-shaped interval insensitive loss for ordinal classification. Machine Learning, First online January 7, 2016.
Zárybnická M., Kubizňák P., Šindelář J., Hlaváč V.: Smart nest box: a tool and methodology for monitoring of cavity-dwelling animals. Methods in Ecology and Evolution. Wiley. Volume 7, Issue 4, April 2016, pp. 483-492.
Shekhovtsov A., Hlavac V.: A Distributed Mincut/Maxflow Algorithm Combining Path Augmentation and Push-Relabel, Intern. Journal of Computer Vision, Sept. 2013, Vol. 104, Issue 3, pp. 315-342.
3D computer vision, videonalytics, reconstruction of 3D scenes from 2D images, pattern recognition with emphasis to relation between statistical and structural methods, industrial applications of machine vision, autonomous robots, robotic manipulation with flexible materials.
Responsible: Václav Hlaváč