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Advances in Robotics & Automation

ISSN: 2168-9695

Open Access

Robert Sablatnig

Robert Sablatnig

Robert Sablatnig
Associate Professor
Vienna University of Technology, Austria

Biography

Robert Sablatnig was born in Klagenfurt, Carinthia, Austria, in 1965. He re¬ceived the B.Sc. de¬gree in Computer Science in 1988, the M.Sc. de¬gree (Diplom Ingenieur) in Computer Science (Computer Graphics, Pat¬tern Recognition & Image Processing) in 1992, the Ph.D. degree in Com¬¬puter Science in 1997 and the “venia docendi” (habilitation) in Applied Computer Science in 2003, all from the Vienna University of Technology. From 1992 to 2003 he was an assistant professor (Univ.Ass.), and from 2003 to 2010 an associate professor (ao Univ.Prof.) of computer vision at the Pattern Recognition and Image Processing Group. Since 2010 he is heading the Computer Vision Lab, and since 2005 he is the Head of the Institute of Computer Aided Automation, engaged in research, project leading, and teaching. He edited 6 pro¬ceedings and is author or co--author of more than 200 referred scientific pub¬li¬cations published in journals, at in¬ternational conferences and workshops. He was the founding chair of IAPR-Technical Committee 19 concerned with Computer Vision for Cultural Heritage Applications and Vice President of the Austrian Association for Pattern Recognition (AAPR/ÖAGM), the Austrian branch of IAPR; served in many program committees for international conferences and as member of the editorial board and referee for international journals and conferences; organized or co-organized 8 international conferences (ICPR, DAGM, VSMM, EVA, ÖAGM, SPPRA), is a member of the IAPR and the IEEE and legally sworn and certified expert witness for computers (allgemein beeideter und gericht¬lich zertifizierter Sachverständiger).

Research Interest

3D Computer Vision including Range Finder, Stereovision, Shape from X, Registration, Calibration, Robot Vision; Document Analysis, Multispectral Imaging, Video Data Analysis (Motion and Tracking), Virtual- and Augmented Reality, and Applications in Industry and Cultural Heritage Preservation

Google Scholar citation report
Citations: 1275

Advances in Robotics & Automation received 1275 citations as per Google Scholar report

Advances in Robotics & Automation peer review process verified at publons

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