D-Index & Metrics Best Publications

D-Index & Metrics

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Computer Science D-index 32 Citations 6,053 165 World Ranking 6978 National Ranking 115

Research.com Recognitions

Awards & Achievements

2016 - Fellow of the International Association for Pattern Recognition (IAPR) For contributions to 3D computer vision analysis and computation

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Geometry
  • Computer vision

His primary areas of investigation include Artificial intelligence, Computer vision, Geometry, Algorithm and Motion estimation. Kenichi Kanatani interconnects Motion and Pattern recognition in the investigation of issues within Artificial intelligence. The Computer vision study combines topics in areas such as Differential geometry, Group and Lie algebra.

Kenichi Kanatani combines subjects such as Image processing and Normalization, Statistics with his study of Algorithm. His research integrates issues of Mathematical analysis, Singular value decomposition, Quaternions and spatial rotation, Euler's rotation theorem and Matrix decomposition in his study of Motion estimation. His Segmentation research includes elements of Point, Unsupervised learning and Feature.

His most cited work include:

  • Statistical Optimization for Geometric Computation: Theory and Practice (484 citations)
  • Geometric Computation for Machine Vision (382 citations)
  • Motion segmentation by subspace separation and model selection (324 citations)

What are the main themes of his work throughout his whole career to date?

Artificial intelligence, Computer vision, Algorithm, Computation and Mathematical optimization are his primary areas of study. Artificial intelligence and Pattern recognition are frequently intertwined in his study. His Computer vision study combines topics from a wide range of disciplines, such as Motion and Point.

His Algorithm study combines topics in areas such as Ellipse, Image processing, Maximum likelihood, Statistics and Noise. His Computation research is multidisciplinary, incorporating elements of Singular value decomposition and Fundamental matrix. His Mathematical optimization course of study focuses on Applied mathematics and Covariance.

He most often published in these fields:

  • Artificial intelligence (49.17%)
  • Computer vision (35.55%)
  • Algorithm (29.57%)

What were the highlights of his more recent work (between 2010-2021)?

  • Artificial intelligence (49.17%)
  • Computer vision (35.55%)
  • Computation (19.27%)

In recent papers he was focusing on the following fields of study:

The scientist’s investigation covers issues in Artificial intelligence, Computer vision, Computation, Algorithm and Algebra. His Artificial intelligence study integrates concerns from other disciplines, such as Grid, Parallel and Collinearity. His studies deal with areas such as Point and Metric as well as Computer vision.

His Computation research integrates issues from Ellipse, 3d vision, Rotation, Focus and Fundamental matrix. His Algorithm research incorporates themes from Maximum likelihood, Sparse matrix and Mathematical optimization. As part of one scientific family, Kenichi Kanatani deals mainly with the area of Algebra, narrowing it down to issues related to the Filtered algebra, and often Quaternion and Cellular algebra.

Between 2010 and 2021, his most popular works were:

  • Hyper least squares fitting of circles and ellipses (78 citations)
  • Calibration of Ultrawide Fisheye Lens Cameras by Eigenvalue Minimization (28 citations)
  • Renormalization returns: hyper-renormalization and its applications (25 citations)

In his most recent research, the most cited papers focused on:

  • Artificial intelligence
  • Computer vision
  • Geometry

Kenichi Kanatani spends much of his time researching Artificial intelligence, Computer vision, Computation, Algorithm and Ellipse. His Artificial intelligence research is multidisciplinary, relying on both Grid and Collinearity. His research in Computer vision intersects with topics in Point and Parallel.

The concepts of his Computation study are interwoven with issues in Computer engineering, Multiple view, Bundle adjustment, 3d vision and Fundamental matrix. His Algorithm study incorporates themes from Normalization, Noise and Estimator. The various areas that he examines in his Ellipse study include Data point, Key, Reprojection error and Applied mathematics.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

Statistical Optimization for Geometric Computation: Theory and Practice

Kenichi Kanatani.
(1996)

853 Citations

Geometric Computation for Machine Vision

Kenichi Kanatani.
(1993)

710 Citations

Group-Theoretical Methods in Image Understanding

Ken-ichi Kanatani.
(1990)

475 Citations

Motion segmentation by subspace separation and model selection

K. Kanatani.
international conference on computer vision (2001)

412 Citations

Analysis of 3-D rotation fitting

K. Kanatani.
IEEE Transactions on Pattern Analysis and Machine Intelligence (1994)

274 Citations

Statistical bias of conic fitting and renormalization

K. Kanatani.
IEEE Transactions on Pattern Analysis and Machine Intelligence (1994)

204 Citations

Stereological determination of structural anisotropy

Ken-Ichi Kanatani.
International Journal of Engineering Science (1984)

177 Citations

Shape from texture: general principle

Ken-ichi Kanatani;Tsai-Chia Chou.
Artificial Intelligence (1989)

159 Citations

Geometric Information Criterion for Model Selection

Kenichi Kanatani.
International Journal of Computer Vision (1998)

159 Citations

A micropolar continuum theory for the flow of granular materials

Ken-Ichi Kanatani.
International Journal of Engineering Science (1979)

152 Citations

Best Scientists Citing Kenichi Kanatani

René Vidal

René Vidal

Johns Hopkins University

Publications: 38

Yi Ma

Yi Ma

University of California, Berkeley

Publications: 35

Peter Meer

Peter Meer

Rutgers, The State University of New Jersey

Publications: 29

Andrea Fusiello

Andrea Fusiello

University of Udine

Publications: 23

Anton van den Hengel

Anton van den Hengel

University of Adelaide

Publications: 19

Shankar Sastry

Shankar Sastry

University of California, Berkeley

Publications: 19

David Suter

David Suter

Edith Cowan University

Publications: 17

Roberto Cipolla

Roberto Cipolla

University of Cambridge

Publications: 16

Andrew Zisserman

Andrew Zisserman

University of Oxford

Publications: 15

Reinhard Klette

Reinhard Klette

Auckland University of Technology

Publications: 15

Rama Chellappa

Rama Chellappa

Johns Hopkins University

Publications: 15

Shun-ichi Amari

Shun-ichi Amari

RIKEN Center for Brain Science

Publications: 15

Junbin Gao

Junbin Gao

University of Sydney

Publications: 14

Nikolai Chernov

Nikolai Chernov

University of Alabama at Birmingham

Publications: 14

Akram Aldroubi

Akram Aldroubi

Vanderbilt University

Publications: 14

Jana Kosecka

Jana Kosecka

George Mason University

Publications: 13

Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking d-index is inferred from publications deemed to belong to the considered discipline.

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