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.

in Computer Science and Theoretical Physics from the University of Adelaide in South Australia, 1979, a B.E.

[1] In 1987, he joined the faculty of Electrical Engineering and Computer Sciences at UC Berkeley.

In 2002, he received the American Association for Artificial Intelligence Classic Paper Award for the most influential paper from the 1983 National Conference on Artificial Intelligence.

[2] 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.