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 Linkoping University, Sweden (2015), National Taiwan Normal University (2019).

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), ``Guide to 3D Vision Computation: Geometric Analysis and Implementation'' (Springer 2016), and ``3D Rotations: Parameter Computation and Lie Algebra-based optimization (CRC Press, 2020).

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:

He was elected IEEE Fellow in 2002, IEICE Fellow in 2012, and IAPR Fellow in 2016.

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