Miloš Oravec

Slovak University of Technology in BratislavaSlovakia

Milos ORAVEC was born in Bratislava, Slovakia. He received the MSc. degree in telecommunication engineering, PhD. degree in applied informatics, and prof. degree in cybernetics from Faculty of Electrical Engineering and Information Technology, Slovak University of Technology (FEI SUT), Bratislava, Slovakia in 1990, 2002, and 2014, respectively. He is the vice-dean responsible for MSc study. He is with the Institute of Computer Science and Mathematics of Slovak University of Technology, Slovakia. He spent several research stays abroad, e.g. RWTH Aachen, Germany, Politecnico di Torino, Italy, Universitat Politecnica de Catalunya, Barcelona, Spain. He is the author of over 80 scientific papers. His work has been published also in several books, e.g. Selected Methods of data Compression (Faber, Bratislava, 1996), Neural Networks for Digital Signal Processing (Faber, Bratislava, 1998), awarded by Literature Foundation of Ministry of Culture of the Slovak Republic, the chapter in Speech, Audio, Image and Biomedical Signal Processing using Neural Networks (Springer Verlag, Germany, 2008), the chapter in Face Recognition (INTECH, Croatia, 2010). He also edited the book Face Recognition (INTECH, Croatia, 2010). He is a member of IEEE and IET. His research interests include artificial intelligence, machine learning and neural networks, biometrics, data analysis and prediction, signal processing, and communication networks. He is active in Machine Learning Group on FEI SUT Bratislava. He acts as the reviewer for several scientific journals, e.g. IEEE Transactions on Vehicular Technology ISSN 0018-9545, IEE Proceedings on Science, Measurement and Technology ISSN 1751-8822, Sensors ISSN 1424-8220, Radioengineering (Czech Republic, ISSN 1210-2512), Journal of Electrical Engineering (Slovakia, ISSN 1335-3632), Acta Electrotechnica et Informatica (Slovakia, ISSN 1335-8243). He also acts as the editor for Central European Journal of Computer Science (CEJCS) .

1books edited

1chapters authored

Latest work with IntechOpen by Miloš Oravec

This book aims to bring together selected recent advances, applications and original results in the area of biometric face recognition. They can be useful for researchers, engineers, graduate and postgraduate students, experts in this area and hopefully also for people interested generally in computer science, security, machine learning and artificial intelligence. Various methods, approaches and algorithms for recognition of human faces are used by authors of the chapters of this book, e.g. PCA, LDA, artificial neural networks, wavelets, curvelets, kernel methods, Gabor filters, active appearance models, 2D and 3D representations, optical correlation, hidden Markov models and others. Also a broad range of problems is covered: feature extraction and dimensionality reduction (chapters 1-4), 2D face recognition from the point of view of full system proposal (chapters 5-10), illumination and pose problems (chapters 11-13), eye movement (chapter 14), 3D face recognition (chapters 15-19) and hardware issues (chapters 19-20).

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