Nationality Australian Role Professor Institutions Berkeley Fields Computer scientist | Known for Canny edge detector Notable awards Machtey Award Name John Canny | |
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Alma mater Adelaide University
MIT Doctoral students Ming C. Lin
Dinesh Manocha People also search for Dinesh Manocha, Ming C. Lin, Ana Ramirez Chang Books The Complexity of Robot Motion Planning Education Massachusetts Institute of Technology, University of Adelaide Notable students Dinesh Manocha, Ming C. Lin | ||
Sf big analytics machine learning at the limit by prof john canny
John F. Canny (born in 1958) is an Australian computer scientist, and Paul E Jacobs and Stacy Jacobs Distinguished Professor of Engineering in the Computer Science Department of the University of California, Berkeley. He has made significant contributions in various areas of computer science and mathematics including artificial intelligence, robotics, computer graphics, human-computer interaction, computer security, computational algebra, and computational geometry.
Contents
- Sf big analytics machine learning at the limit by prof john canny
- John canny distinguished professor uc berkeley machine learning at the limit
- Biography
- Publications
- References
John canny distinguished professor uc berkeley machine learning at the limit
Biography
John Canny received his B.Sc. in Computer Science and Theoretical Physics from the University of Adelaide in South Australia, 1979, a B.E. (Hons) in Electrical Engineering, University of Adelaide, 1980, a M.S. and Ph.D. from the Massachusetts Institute of Technology, 1983 and 1987, respectively.
In 1987 he joined the faculty of Electrical Engineering and Computer Sciences at UC Berkeley.
In 1987 he received the Machtey Award and the ACM Doctoral Dissertation Award. In 1999 he was the co-chair of the Annual Symposium on Computational Geometry. In 2002 the American Association for Artificial Intelligence Classic Paper Award for the most influential paper from the 1983 National Conference on Artificial Intelligence. As the author of "A Variational Approach to Edge Detection" and the creator of the widely used Canny edge detector, he was honored for seminal contributions in the areas of robotics and machine perception.
Publications
Canny has published several books, papers and articles. A selection: