World's Best Scientists 2026 revealed!
Kenichi Kanatani

Kenichi Kanatani

Award Badge
Computer Science
Japan
2025

D-Index & Metrics

Computer Science

D-Index
47
Citations
8679
World Ranking
6511
National Ranking
92

Research.com Recognitions

  • 2025 - Research.com Computer Science in Japan Leader Award
  • 2022 - Research.com Computer Science in Japan Leader Award
  • 2016 - Fellow of the International Association for Pattern Recognition (IAPR) For contributions to 3D computer vision analysis and computation

Overview

Kenichi Kanatani is affiliated with Okayama University in Japan and has contributed extensively to the fields of engineering, physics and astronomy, and computer science. Their research intersects multiple subfields such as astronomy and astrophysics, electrical and electronic engineering, computer vision and pattern recognition, control and systems engineering, and global and planetary change.

The scientist's main research topics include lightning and electromagnetic phenomena, electrical fault detection and protection, fire effects on ecosystems, image and object detection techniques, high voltage insulation and dielectric phenomena, power systems fault detection, and advanced vision and imaging.

Kanatani has published in several academic venues with recurring contributions to:

  • IEEJ Transactions on Power and Energy
  • Electric Power Systems Research
  • IEEJ Transactions on Electrical and Electronic Engineering
  • Synthesis lectures on signal processing
  • SSRN Electronic Journal

Some of the recent papers by Kanatani include:

  • Influence of configuration of power distribution lines on failure probability of surge arresters, 2022, Electric Power Systems Research
  • An Analytical Study on Effective Lightning Protection Measures for Pole-Mounted Distribution Transformers on Terminal Poles, 2023, IEEJ Transactions on Electrical and Electronic Engineering
  • Linear Algebra for Pattern Processing: Projection, Singular Value Decomposition, and Pseudoinverse, 2021, Synthesis lectures on signal processing
  • A Model of Pole-Mounted Distribution Transformer for Lightning Failure Analysis, 2023, IEEJ Transactions on Power and Energy

Kanatani's collaboration network includes frequent co-authors such as Susumu Matsuura, Koji Michishita, Hirofumi Fujita, Hitoshi Sugimoto, and Kazuo Shinjo.

In addition to journal publications, Kanatani has authored a book published by Morgan & Claypool Publishers titled Linear Algebra for Pattern Processing (2021), which has also been cited in the academic community.

Recognition of Kanatani's contributions includes being named a Fellow of the International Association for Pattern Recognition (IAPR) in 2016 for work related to 3D computer vision analysis and computation.

Best Publications

  • Statistical Optimization for Geometric Computation: Theory and Practice

    Kenichi Kanatani

  • Geometric Computation for Machine Vision

    Kenichi Kanatani

  • Group-Theoretical Methods in Image Understanding

    Ken-ichi Kanatani

  • Motion segmentation by subspace separation and model selection

    K. Kanatani

  • Analysis of 3-D rotation fitting

    K. Kanatani

  • Statistical bias of conic fitting and renormalization

    K. Kanatani

  • Hyper least squares fitting of circles and ellipses

    Kenichi Kanatani;Prasanna Rangarajan

  • Shape from texture: general principle

    Ken-ichi Kanatani;Tsai-Chia Chou

  • Optimal Estimation of Three-Dimensional Rotation and Reliability Evaluation

    Naoya Ohta;Ken-ichi Kanatani

  • Geometric Information Criterion for Model Selection

    Kenichi Kanatani

  • Statistical Optimization for Geometric Fitting: Theoretical Accuracy Bound and High Order Error Analysis

    Kenichi Kanatani

  • A Mathematical Foundation for Statistical Neurodynamics

    Shun-Ichi Amari;Kiyonori Yoshida;Ken-Ichi Kanatani

  • Triangulation from Two Views Revisited: Hartley-Sturm vs. Optimal Correction

    Kenichi Kanatani;Yasuyuki Sugaya;Hirotaka Niitsuma

  • Optimal Homography Computation with a Reliability Measure

    Kenichi Kanatani

  • Computational projective geometry

    Kenichi Kanatani

  • Geometric Structure of Degeneracy for Multi-body Motion Segmentation

    Yasuyuki Sugaya;Kenichi Kanatani

  • Detecting the motion of a planar surface by line and surface integrals

    Ken-Ichi Kanatani

  • Do we really have to consider covariance matrices for image features?

    Unknown

  • Constraints on length and angle

    Ken-Ichi Kanatani

  • Evaluation and Selection of Models for Motion Segmentation

    Ken-ichi Kanatani

  • Uncertainty modeling and model selection for geometric inference

    K. Kanatani

  • Accuracy bounds and optimal computation of homography for image mosaicing applications

    K. Kanatani;N. Ohta

  • Statistical Optimization for Geometric Fitting: TheoreticalAccuracy Bound and High Order Error Analysis

    Kenichi Kanatani

Frequent Co-Authors

Bill Triggs
Bill Triggs Laboratoire Jean Kuntzmann
Richard Szeliski
Richard Szeliski University of Washington
Takeo Kanade
Takeo Kanade Carnegie Mellon University
Roberto Cipolla
Roberto Cipolla University of Cambridge
Dorin Comaniciu
Dorin Comaniciu Siemens (United States)
David Suter
David Suter Edith Cowan University
Jana Kosecka
Jana Kosecka George Mason University
Tom Drummond
Tom Drummond Monash University
Shankar Sastry
Shankar Sastry University of California, Berkeley

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Pursuing a computer science degree opens doors to numerous tech and engineering fields. For those looking to enter the workforce quickly, consider enrolling in a fastest computer science degree program. These accelerated online programs allow you to finish your studies sooner while gaining the crucial skills employers demand.

If you're interested in environmentally focused careers, an online environmental engineering degree science and engineering will equip you to tackle sustainability challenges. Similarly, those drawn to design, manufacturing, or robotics may want to pursue the cheapest online mechanical engineering degree. Both fields have strong job prospects and flexible online options.

For a science-focused path, online physics programs offer solid foundations in analytical thinking and research. Explore the variety of online physics degrees that can lead to roles in education, tech, and scientific research.

With so many related online degrees and career pathways, you can align your education with your goals while enjoying the flexibility of online study.

Best Scientists Citing Kenichi Kanatani

Trending Scientists