2016Advanced TechnologyInformation Science
Takeo Kanade photo

Takeo Kanade

  • Japan / October 24, 1945
  • Roboticist
  • U. A. and Helen Whitaker University Professor, Carnegie Mellon University

Pioneering Contributions, both Theoretical and Practical, to Computer Vision and Robotics

Dr. Kanade has made fundamental contributions to the basic theory of computer vision and introduced a series of innovative applied technologies in robotics including pioneering achievements in the field of automated driving. He has established the foundation of this academic field and been advancing its frontiers consistently for many years.

Profile

Brief Biography

1945
Born in Tamba, Hyogo, Japan
1974
Ph.D. in Electrical Engineering, Kyoto University
1974-1976
Assistant Professor, Faculty of Engineering, Kyoto University
1976-1980
Associate Professor, Faculty of Engineering, Kyoto University
1980-1982
Senior Research Scientist, The Robotics Institute and Computer Science Department, Carnegie Mellon University (CMU)
1982-1985
Associate Professor, The Robotics Institute and Computer Science Department, CMU
1985-1994
Professor, The Robotics Institute and Computer Science Department, CMU
1992-2001
Director, The Robotics Institute, CMU
1993-1998
U. A. and Helen Whitaker Chaired Professor, CMU
1998-
U. A. and Helen Whitaker University Professor, CMU
2004-2010
Director, Digital Human Research Center, National Institute of Advanced Industrial Science and Technology, Japan
2006-2012
Director, Quality of Life Technology Engineering Research Center, CMU
2014-
Specially Appointed Professor, The Institute of Scientific and Industrial Research, Osaka University
2014-
Visiting Professor, Graduate School of Information Science, Nara Institute of Science and Technology
2015-
Honorary AIST Fellow, National Institute of Advanced Industrial Science and Technology, Japan
2016-
Senior Advisor, Center for Advanced Integrated Intelligence Research, RIKEN

Selected Awards and Honors

1995
Joseph F. Engelberger Award
2000
C&C Prize
2004
Funai Achievement Award
2007
Azriel Rosenfeld Lifetime Achievement Award, IEEE CS
2007
RAS Pioneer Award, IEEE RAS
2007
Okawa Prize
2008
Bower Award and Prize for Achievement in Science
2010
ACM-AAAI Allen Newell Award
2010
Tateishi Prize, Grand Award
Members:
American Academy of Arts and Sciences, National Academy of Engineering

Citation

Pioneering Contributions, both Theoretical and Practical, to Computer Vision and Robotics

Dr. Takeo Kanade has devoted much of his life to researching and developing computer vision technologies, from fundamental theories to real-world applications in the field of robotics. Today, cameras and robots with intelligent visual functions are expected to offer solutions to various social problems and Dr. Kanade has made significant contributions to the foundation of these technologies and brought many new concepts into practical reality.

His pioneering research on computer-based image recognition led him to propose face detection technologies using neural networks. This method raised the detection rate to an unprecedented and practical level.

Dr. Kanade was also engaged in research on recognition of three-dimensional structures and motions using video and then went on to propose a robust and fundamental algorithm for optical flow to estimate the direction and speed of a moving object with video images. He also developed a three-dimensional reconstruction method for moving objects in video based on singular value decomposition. These methods have been fundamental to the modern image processing, and made substantial progress in the methods to recognize dynamic three dimensional world using input image.

One of his most profound achievements relates to automated driving. In 1985, his autonomous vehicle project formed the early foundation for the recent emergence of autonomous driving technologies. He was the first researcher in the world to create an artificial intelligence system capable of sensing freeway lanes, executing accurate lane changes, recognizing and avoiding obstacles, and detecting other vehicles in real time based on data from vehicle-mounted range sensors and cameras. His team carried out a superb demonstration called “No Hands Across America,” the idea of which was to traverse the North American continent by car without touching the steering wheel. Researchers drove approximately 4,500 kilometers, from Pittsburgh to San Diego, with hardly any use of the steering wheel. This groundbreaking demonstration was extremely significant in showing the future potential for fully automated driving.

As described above, Dr. Kanade’s achievements cover a widespread area from scientific basic research to practical research. He has outstandingly contributed in the field of image processing and pattern recognition by putting forth basic and theoretical frameworks, and developing extraordinary practical technologies.

For these reasons, the Inamori Foundation is pleased to present the 2016 Kyoto Prize in Advanced Technology to Dr. Takeo Kanade.

Lecture

Abstract of the Lecture

Think like an Amateur, Do as an Expert: Fun Research in Computer Vision and Robotics

Most researchers, when asked their fondest desire, respond that they want to do good research. If further queried as to what constitutes “good research,” they often find it difficult to give a clear answer. For myself, I believe that good research derives from solving real-world problems, thus delivering useful results to society, whereby researchers themselves enjoy doing so. Such research has its own story to tell, as well as power to persuade other people. “Think like an amateur, do as an expert” is my research motto: When conceptualizing a problem and its possible solution, think simply and openly, as a novice in that field, without preconceived notions. When implementing a solution, on the other hand, do so thoroughly, meticulously, and with expert skill.

As a roboticist, I have been extremely fortunate to participate in developing a wide range of computer-vision systems and autonomous robots, including human-face recognition, autonomously-driven cars, computer-assisted surgical robots, robot helicopters, biological live cell tracking through a microscope, and EyeVision for Super Bowl broadcast. In these projects, I met and worked with many people from diverse backgrounds, and also encountered many challenges. While reviewing the technical content of these projects, I will also try to sprinkle anecdotal experiences that highlight the appealing and enjoyable aspects of a researcher’s life—those that occur accidentally or inevitably as my “Think like an amateur, do as an expert” maxim interacts with problems and people.

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Workshop

Workshop

Society in 20 Years Later Depicted by Computer Vision Research

date
Saturday, November 12, 2016
palce
Kyoto International Conference Center
Coordinators
Michihiko Minoh (Professor, Kyoto University) Masaru Kitsuregawa (Director General, National Institute of Informatics)
Moderator
Michihiko Minoh
Organized by
Inamori Foundation
Supported by
Kyoto Prefectural Government, Kyoto City Government, NHK
With the cooperation of
Human Interface Society, Information Processing Society of Japan, The Institute of Electronics, Information and Communication Engineers, The Institute of Image Electronics Engineers of Japan, The Institute of Image Information and Television Engineers, The Robotics Society of Japan, The Virtual Reality Society of Japan

Program

10:30
Opening Address and Introduction of Laureate Michihiko Minoh
10:40
Laureate’s Lecture Takeo Kanade (the Laureate in Advanced Technology)
“Problems to Be Addressed by the Next Generation of Computer Vision Scientists/Engineers”
12:00
Intermission
13:00
Lecture Yasuhiro Mukaigawa (Professor, Nara Institute of Science and Technology)
“Computational Photography Based on Ray Measurement”
13:30
Lecture Yasuyuki Matsushita (Professor, Osaka University)
“Low-Dimensional Structure in High-Dimensional Data”
14:00
Lecture Tatsuya Harada (Professor, The University of Tokyo)
“Visual Recognition and Generation Using Machine Learning”
14:30
Intermission
14:45
Lecture Hironobu Fujiyoshi (Professor, Chubu University)
“Affine-Invariant Local Feature Representation for Keypoint Matching”
15:15
Lecture Seiichi Uchida (Professor, Kyushu University)
“Character Engineering―Future Directions beyond 100% Recognition Accuracy”
15:45
Lecture Shin’ichi Satoh (Professor, National Institute of Informatics)
“How to Delineate Semantic Information from Large-Scale Multimedia Archive?”
16:15
Intermission
16:30
Discussion “Exploring the Secrets of Successful Research that Can Have a Strong Impact on Society”
Hironobu Fujiyoshi, Tatsuya Harada, Yukiyasu Kamitani (Professor, Kyoto Univesity), Takeo Kanade, Yasuyuki Matsushita, Michihiko Minoh, Yasuhiro Mukaigawa, Shin’ichi Satoh, Seiichi Uchida, Keiji Yamada (Vice President of Central Research Laboratories, NEC Corporation)
17:30
Closing
PAGETOP