John Canny

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John F. Canny
John Canny in his office at UC Berkeley.jpg
John Canny in his office at University of California, Berkeley (2013)
Nationality Australian
Fields Computer scientist
Institutions Berkeley
Alma mater Adelaide University
Doctoral students Ming C. Lin
Dinesh Manocha
Known for Canny edge detector
Notable awards Machtey Award

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.


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.[1]

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.[2]

See also[edit]


Canny has published several books, papers and articles. A selection:


  1. ^ *John F. Canny | EECS at UC Berkeley. Retrieved 20 May 2009.
  2. ^ Fall 2002 Archive | EECS at UC Berkeley. Retrieved 20 May 2009.

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