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Keynote Speaker 1

Prof. Satoshi Tanaka(College of Information Science and Engineering, Ritsumeikan University)
Title: High-Quality & Transparent Visualization of Large-Scale Point Clouds Acquired by 3D Scanning

This talk introduces our recent achievements on high-quality and transparent 3D imaging of the large-scale and complex point clouds acquired via the 3D scanning, i.e., the laser scanning and the photogrammetric scanning, of real 3D objects. Our method is based on a stochastic algorithm and directly uses 3D points acquired by the 3D scanning as the rendering primitives. The technique achieves quick rendering and the correct depth feel of large-scale and complex 3D objects in the real world quite easily. We demonstrate the effectiveness of our method by applying it to the famous Japanese festival floats of high cultural value, modern buildings, industrial factories, and many others.
Prof. Satoshi Tanaka got his Ph.D. in theoretical physics at Waseda University, Japan in 1987. After experiencing an assistant professor, a senior lecturer, and an associate professor at Waseda University and Fukui University, he became a professor of Ritsumeikan University in 2002. His current research target is computer visualization of complex 3D shapes such as 3D scanned cultural heritage objects, inside structures of a human body, and fluid simulation results. Recently, he was the President of JSST (Japan Society for Simulation Technology) and the President of ASIASIM (the Federation of Asia Simulation Societies). Currently, he is working as the vice-president of the VSJ (Visualization Society of Japan) and a cooperation member of Japan Science Council. He is the best paper winners at Asia Simulation Conference 2012, Journal of Advanced Simulation in Science and Engineering in 2014, and many others.

Keynote Speaker 2

Prof. Tomohiro Kuroda(Kyoto University)
Title: Social Hospital and Preemptive Medicine : Prospects of Cyber-Physical Clinical Medicine in Information Age

Rapid introduction of ICT and rapid advancement of Reproductive Medical Science provide disruptive changes for Clinical Medicine.
IoT brings healthcare services out of hospital, and MR and AI support clinical activities anywhere. iPS cells enable us to make brute-force attack to intractable diseases. This lecture is to share appearing future of clinical medicine under current scientific progress, and how we computer scientists contributes to speed up the revolution.
Tomohiro Kuroda received B.S. in information science from Kyoto University, Japan in 1994, M.S. and Ph.D. in information science from Nara Institute of Science and Technology, Japan in 1996 and 1998. He was with Graduate School of Information Science at Nara Institute of Science and Technology, Japan from 1998 to 2001, where he held the rank of assistant professor, with Department of Medical Informatics of Kyoto University Hospital, Japan from 2001 to 2006 and from 2009 to 2013, where he held the rank of lecturer and associate professor respectively, and with Department of Information Processing Science of University of Oulu, Finland in 2001 and 2006, where he held the rank of visiting professor. He was with Graduate School of Engineering Science of Osaka University, Japan from 2007 to 2009, where he held the rank of associated professor. Since August 2013, he has been the director of Division of Medical Information Technology and Administrative Planning (Chief Information Office) of Kyoto University Hospital, Japan, where he also serves as the professor of medical informatics in the graduate school of medicine and the graduate school of informatics. His current research interests include Human Interface, Virtual/Augmented Reality, Wearable/Ubiquitous Computing, and Medical/Assistive informatics. He is a member of IEEE, ISVR, VRSJ, HISJ, JSMBE, JAMI, JSMVR, ISCIE, JASL, and others.

Keynote Speaker 3

Tobias Höllerer(University of California, Santa Barbara)
Title: Learning for Reality

We are in a technological transition period. The last grand paradigm shift in terms of technology adoption, the mobile revolution, happened over a decade ago. Since then, several technologies have been competing to become the next big thing: Internet of Things, Physical Computing, Brain-Computer Interfaces, AI and Agent-based Computing, and of course Virtual and Augmented Reality. In this talk, we will make the argument that Augmented Reality in particular is well-positioned to play nice with any of these up-and-coming technologies and thus could indeed become the ubiquitous user interface that many investors and tech giants apparently trust it will be. It is also not hard to predict given its massive adoption and many success stories over the past decade, that Machine Learning, and particularly Deep Learning, will play a major role in any human-computer-interaction innovations to come, especially ones involving knowledge about the real, physical world. But the future that is outlined by these technological possibilities is not without problems. Machine Learning models can be hard to understand, fine-tune, control, and protect against attacks. More sensors (as beneficial for AR) means more potential privacy intrusions. And people might rely more on automation than is good for them. What can we do as researchers to work towards a more humane technology outlook? Our take: give technology adopters more control, and let them learn from and for reality.
Tobias Höllerer is Professor of Computer Science at the University of California, Santa Barbara, where he directs the Four Eyes Laboratory, conducting research in the four I’s of Imaging, Interaction, and Innovative Interfaces. Dr. Höllerer holds a Diplom in informatics from the Technical University of Berlin as well as an MS and PhD in computer science from Columbia University. He is a recipient of the US National Science Foundation’s CAREER award, for his work on “Anywhere Augmentation”, enabling mobile computer users to place annotations in 3D space wherever they go. He was named an ACM Distinguished Scientist in 2013. Dr. Höllerer is co-author of a textbook on Augmented Reality, as well as over 200 peer-reviewed journal and conference publications in the areas of augmented and virtual reality, information visualization, 3D displays and interaction, mobile and wearable computing, and social computing. Several of these publications won Best Paper or Honorable Mention awards at such venues as the IEEE International Symposium on Mixed and Augmented Reality (ISMAR), IEEE Virtual Reality, ACM Virtual Reality Software and Technology, ACM User Interface Software and Technology, ACM MobileHCI, IEEE SocialCom, and IEEE CogSIMA.


Thursday, 3 October 2019 18:00 to 20:00

Location : Funatsuru Kyoto Kamogawa Resort

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