Tudor Barbu

Romanian Academy Romania

Dr. habil. Tudor Barbu is currently Senior Researcher I at the Institute of Computer Science of the Romanian Academy. He is the coordinator of the image and video processing research collective at this institute. Mr. Barbu has a PhD degree in Computer Science, awarded by the Faculty of Automatic Control and Computers of the University “Politehnica” of Bucharest. In the last decade he published 4 books and 10 book chapters as single or main author. Also, Dr. Tudor Barbu published more than 170 articles in recognized international journals and volumes of international scientific events (conferences, symposiums and workshops). His scientific activity also includes more than 40 research reports, elaborated with the institute research team coordinated by him or related to various research projects. His scientific publications have 1500 citations, according to Google-Academic. In recent years he also coordinated various research directions in 11 projects based on contracts/grants. Dr. Tudor Barbu received also 20 scientific awards for his research results, the most important being the Romanian Academy Prize “Gheorghe Cartianu”, in the Information Science and Technology domain, awarded on December 18, 2008. He is a member of 40 conference scientific committees and also member of scientific and technical committee and editorial review boards of 10 journals. His main scientific areas of interest are: digital media (audio, video and image) signal processing and analysis, pattern recognition, computer vision, multimedia information storage, indexing and retrieval, and biometric authentication using voice, face and digital fingerprint recognition.

Tudor Barbu

1books edited

1chapters authored

Latest work with IntechOpen by Tudor Barbu

The purpose of this book, entitled Face Analysis, Modeling and Recognition Systems is to provide a concise and comprehensive coverage of artificial face recognition domain across four major areas of interest: biometrics, robotics, image databases and cognitive models. Our book aims to provide the reader with current state-of-the-art in these domains. The book is composed of 12 chapters which are grouped in four sections. The chapters in this book describe numerous novel face analysis techniques and approach many unsolved issues. The authors who contributed to this book work as professors and researchers at important institutions across the globe, and are recognized experts in the scientific fields approached here. The topics in this book cover a wide range of issues related to face analysis and here are offered many solutions to open issues. We anticipate that this book will be of special interest to researchers and academics interested in computer vision, biometrics, image processing, pattern recognition and medical diagnosis.

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