In the past few years we can experience a huge progress and spread of camera equipped smartphones. Our group is focusing on new collaborative solutions for visual computing tasks on such devices. Reconstruction of the surrounding 3D world is of particular interest either for mapping, civil applications or for entertainment. In contrast to the client-server architecture adopted by most mobile services, we propose an architecture where data, computations and results can be shared in a collaborative manner among the participating devices without centralization. In this talk I will present our collaborative 3D reconstruction results for urban scenes.
Zoltan Kato received the M.S. degree in Computer Science from the University of Szeged, Hungary in 1990, the Ph.D. degree from the University of Nice doing his research at INRIA Sophia Antipolis, France in 1994 and the DSc title from the Hungarian Academy of Sciences in 2014. He has been a visiting research associate at the Computer Science Department of the Hong Kong University of Science \& Technology, Hong Kong; an ERCIM postdoc fellow at CWI, Amsterdam, The Netherlands; and a visiting fellow at the School of Computing, National University of Singapore, Singapore. Currently, he is with the Institute of Informatics at the University of Szeged, Hungary. He was an Associate Editor of IEEE TRANSACTIONS ON IMAGE PROCESSING from 2003 to 2008. He is a Senior Member of the IEEE Signal Processing Society and President of the Hungarian Association for Image Processing and Pattern Recognition. His research interests include registration, camera calibration, 3D reconstruction, statistical image models, MCMC methods, and shape modeling.