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Facultas docendi, Jena University, Germany, 1984
Dr. sc. nat. (Computer Science), Jena University, Germany, 1982
Dr. rer. nat. (Mathematics), Jena University, Germany, 1978
MSc (Mathematics), Jena University, Germany, 1973
Prior to joining AUT, Professor Klette has been already a full professor at the Academy of Sciences, Berlin, a full professor at the Technical University Berlin, and a full professor at Auckland University. He is the director of the Centre for Robotics & Vision (CeRV).
He has over 450 publications, among them close to 100 peer-reviewed journal papers, three text books (on image processing, computer vision for 3D shape recovery, and computer vision in general, just published in 2014), four monographs (on parallel computing, digital geometry, panoramic imaging, and shortest Euclidean paths), 24 edited research books and conference proceedings, 31 peer-reviewed book chapters, and about 300 peer-reviewed conference papers in the areas of computer vision, pattern recognition, computational photography, robotics, artificial intelligence, computational geometry, parallel computing, algorithm design, digital geometry and topology, and inductive inference of recursive functions. So far he supervised 27 PhD students to their successful completion, and also more than 100 masters projects.
In 2003-2008 he was an associate editor of IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), in 2011-2013 the founding editor-in-chief of the Journal of Control Engineering and Technology, and in 2005-2014 a member of the editorial board of the International Journal on Computer Vision (now an honorary member of this board).
He is currently an editor of the “Journal of Information and Communication Convergence Engineering”, and an editor of the Springer's book series "Computational Imaging and Vision", and a member of the editoral boards of the following journals: "Machine GRAPHICS & VISION”, "Opto-Electronics Review”, "Journal Communications in Control Science and Engineering”, "Scientific Journal of Silesian University of Technology. Series Transport”, and the "International Journal of Fuzzy Logic and Intelligent Systems".
Prof. Klette’s main areas of expertise:
His research interests are in areas of computer vision, ranging from basic theoretical fundamentals in digital geometry and topology to advanced subjects related to the 3-dimensional modelling and understanding of the real world based on recorded multi-ocular image and video data.