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John F. Canny

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by

Paarth Sharma

on 9 April 2013

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Transcript of John F. Canny

An Australian Computer Scientist John F. Canny Who is John F. Canny? Life John's Great Skills John's Impact On My Life Influence on the Scientific World Publications Quiz Time! John is a computer scientist, born in 1953, Australia. He is the inventor of the famous Canny Edge Detector, an edge detecting operator that uses a multiple stage algorithm to detect the edges in an image. John Canny received his Bachelor of Science in Computer Science and Theoretical Physics from the University of Adelaide in South Australia, 1979. Later on, he received a Master of Science and a Doctor Of Philosophy from the Massachusetts Institute of Technology. In 1987 he joined the faculty of Electrical Engineering and Computer Sciences at UC Berkeley. In 1999 he was the co-chair of the Annual Symposium on Computational Geometry (a conference for researchers to talk about computer science). John has a lot of knowledge on computers and therefore has many Research areas. His contributions to Computer Science have earned him awards and inspiration from many other scientists. John created an edge detecting operator called the Canny Edge Detector. This invention has revolutionized the world in many ways. For those of you who don't know, edge detection is the name for a set of mathematical methods which identify points in a digital image at which the image's brightness changes. John has impacted my life in numerous ways. John's work inspires children like me everyday. He has written many books and has won awards for his publications. What also inspires me is that he thinks outside the box. Canny used his knowledge on computer science to change edge detectors in ways which have never been acknowledged before. I respect the fact that John was always willing to carry out given tasks and not just avoid them. Question Number 1:
Who is John Canny?
A. Author B. Reporter C. Biologist D. Computer Scientist Who is John Canny? His life John's great skills His contribution to the scientific world This Prezi includes: His impact on my life Interesting facts about him Now Lets Get Started! Quiz on the computer scientist! Now Lets Get Started! He is a Paul and Stacy Jacobs Distinguished Professor of Engineering in the Computer Science Department of the University of California, Berkeley. Picture of John Canny Some of his Research Areas are:
Artificial Intelligence
Control, Intelligent Systems, and Robotics
Graphics
Human-Computer Interaction
Security
Computational Algebra
Computational Geometry In 1987, he received the Machtey Award and the ACM Doctoral Dissertation Award. In 2002, he won the American Association for Artificial Intelligence Classic Paper Award. It was given to him for his influence on Computer Science. A Speech By John F Canny Canny Edge Detection Going Into Action Canny Edge Detection is the most frequently used detections. The Canny Edge Detector is one of the most frequently used edge detecting algorithms ever made. This is how the algorithm was made. One day Canny received a project, to make an edge detection algorithm. Canny's aim was to discover the optimal edge detection algorithm. For that he needed it to have:
good detection – the algorithm should mark as many real edges in the image as possible.
good localization – edges marked should be as close as possible to the edge in the real image.
minimal response – a given edge in the image should only be marked once, and where possible, image noise should not create false edges. Because the Canny edge detector is delicate to noise present in unprocessed image data, it uses a filter based on a Gaussian (bell curve), where the image is rolled together with a Gaussian filter. The result is a slightly blurred version of the original which is not affected by a single noisy pixel. This was just one of the many steps John took to make his detector. After the detector was made, it was declared a success and became used frequently. This has impacted both the Science and Maths communities. Edge detecting is a method used in Maths and now since edge detecting has been improved, it has benefited Mathematicians. What makes it even greater is that Canny used Technological Science to improve detectors. Edge Detecting Publications Here are just a few of the books or parts of a book John wrote.
"MultiView: Improving trust in group video conferencing through spatial faithfulness" in Proc. 2007 SIGCHI Conf. on Human Factors in Computing Systems, New York, NY: The Association for Computing Machinery."Camera phone based motion sensing: Interaction techniques, applications and performance study," in Proc. 19th Annual ACM Symp. on User Interface Software and Technology, New York, NY
"Toward context-aware face recognition," in Proc. 13th Annual ACM Intl. Conf. on Multimedia, New York, NY.
"Collaborative filtering with privacy," in Proc. 2002 IEEE Symp. on Security and Privacy, Los Alamitos, CA
"Social tele-embodiment: Understanding presence," Autonomous Robots."C'mon part, do the local motion!," in Proc. 2001 IEEE Intl. Conf. on Robotics and Automation, Vol. 3, Piscataway, NJ.
"Part pose statistics: Estimators and experiments," IEEE Trans. Robotics and Automation. If you said D then you were Question Number 2:
How many awards has John achieved?
A. One B. Two C. Three D. Four C is the right answer! Question Number 3:
What was the name of the Edge Detector he made?
A. Chipotle Dodonator B. Canny Edge Detector C. The Edgie D. Revolutionizer The Answer is B. Question Number 4:
Which two working communities does Canny's discoveries go to?
A. Geography and Science B. English and Maths C. Science and Technology D. Technological Science and Maths. D. Question Number 5:
What qualities does John have which make him impact my life?
A. Inspiring and Knowledge B. Knowledge and courage C. Inspiring and Brave D. Brave and Courageous A. You Scored ____% By Paarth Sharma 7G BBHS Bibliography
http://www.academicroom.com/users/john-canny
http://www.eecs.berkeley.edu/Faculty/Homepages/canny.html
http://en.wikipedia.org/wiki/John_Canny/
http://homepages.inf.ed.ac.uk/rbf/HIPR2/canny.htm/
http://en.wikipedia.org/wiki/Edge_detection/
http://homepages.inf.ed.ac.uk/rbf/HIPR2/gsmooth.htm
http://www.google.com.au/imghp?hl=en&tbm=isch&source=og&sa=N&tab=li
http://www.youtube.com/ Thanks for watching folks!
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