Visiting scholar from Okayama University, Japan.: Dr. Kenichi Kanatani

Poster:Post date:2019-10-21
Dr. Kenichi Kanatani 海報
Dr. Kenichi Kanatani of Okayama University, Japan is visiting College of Technology and Engineering from Nov. 4th to 8th.

Keynote Speach
Date: 2019/11/07 (Thurs.) 10:20-12:00 
Venue: 3F Meeting room at College of Technology and Engineering
Topic: General introduction of computer vision application: ellipse fitting to images
Speaker: Dr. Kenichi Kanatani, 
              Professor Emeritus,
              Okayama University, Japan

Short Biography

Kenichi Kanatani was born on August 12, 1947 in Okayama, Japan.

He received his B.S., M.S, and Ph.D. in applied mathematics from the University of Tokyo, Japan, in 1972, 1974, and 1979, respectively.

He joined the Department of Computer Science, Gunma University, Kiryu, Japan, in April 1979 as Assistant Professor. He became Associate Professor and Professor there in April 1983 and April 1988, respectively. From April 2001 to March 2013, he was Professor of Computer Science, Okayama University, Okayama, Japan. He retired in March 2013 and is now Professor Emeritus of Okayama University.

He was a visiting researcher at the University of Maryland, U.S.A. (1985-1986, 1988-1989, 1992), the University of Copenhagen, Denmark (1988), the University of Oxford, U.K. (1991), INIRA at Rhone Alpes, France (1998), ETH: Swiss Federal Institute of Technology Zurich, Switzerland (2013), University Paris-Est, France (2014), and Link\"{o}ping University, Sweden (2015).

He is the author of ``Group-Theoretical Methods in Image Understanding'' (Springer, 1990), ``Geometric Computation for Machine Vision'' (Oxford University Press, 1993), ``Statistical Optimization for Geometric Computation: Theory and Practice'' (Elsevier Science, 1996), ``Understanding Geometric Algebra: Hamilton, Grassmann, and Clifford for Computer Vision and Graphics (CRC Press, 2015), ``Ellipse Fitting for Computer Vision: Implementation and Applications'' (Morgan & Claypool, 2016), and ``Guide to 3D Vision Computation: Geometric Analysis and Implementation'' (Springer 2016).

His research career started with studies of theoretical continuum mechanics (elasticity, plasticity, and fluid) and its application to mechanics of granular materials such as powder and soil, but his research interested has shifted to mathematical analysis of images and 3-D reconstruction from images. He published a number of books and papers on statistical reliability of computer vision and optimization procedures.

He received many awards, including:

  • Best Paper Award of IPSJ (Information Processing Society of Japan), May 1987
  • Telecommunication System Technology Award of the Telecommunication Advancement Foundation, March 1999
  • Information Technology Promotion Award of Funai Foundation for Information Technology, Mach in 2005
  • Best Paper Award of IEICE (Institute of Electronic, Information and Communication Engineers), May 2005.
  • Information and System Society Activity Service Award of IEICE (Institute of Electronic, Information and Communication Engineers), September 2005.
  • Best Paper Award of the Pacific-Rim Symposium on Image and Video Technology (PSIVT'09), Tokyo, Japan, January 2009.
  • Most Influential Paper over the Decade Award, IAPR Conference on Machine Vision Applications 2009, Japan, May 2009.
  • Education Service Award, School of Engineering, Okayama University, March 2012.
  • Publication Award, the Japanese Society for Engineering Education, August 2012.
  • IPSJ (Information Processing Society of Japan) Yamashita SIG Research Award, March 2013.
  • Best Teacher Award, School of Engineering, Okayama University, March 2013.
  • Best Education Award of IEICE (Institute of Electronic, Information and Communication Engineers), June 2017.
  • Distinguished Educational Practitioners Award of IEICE (Institute of Electronic, Information and Communication Engineers), June 2017.
He was elected IEEE Fellow in 2002, IEICE Fellow in 2012, and IAPR Fellow in 2016.
Last modification time:2019-10-21 PM 2:44

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