Gary Bradski
Gary Bradski | |
---|---|
Born | United States |
Residence | Palo Alto |
Nationality | American |
Fields |
Computer Science Computer Vision |
Institutions |
Intel Willow Garage Industrial Perception Magic Leap[1] |
Alma mater |
University of California at Berkeley Boston University |
Notable awards | Darpa Grand Challenge First Place (2005) |
Gary Bradski is an American scientist, engineer, entrepreneur, and author. He co-founded Industrial Perception, a company that developed perception applications for industrial robotic application (since acquired by Google in 2012 [2]) and has worked on the OpenCV Computer Vision library, as well as published a book on that library.[3]
The OpenCV Library
Main article: OpenCV
The OpenCV Library is a Computer Vision Software Library.
Learning OpenCV
Originally published in 2006, the book Learning OpenCV (O'Reilly Press) serves as an introduction to the library and its use.
Publications
Bradski has published a wide variety of articles in computer science on the topics of computer vision and optimization. The following are his most highly cited works:[4]
- 2008 Learning OpenCV: Computer vision with the OpenCV library With Adrian Kaehler, O'Reilly Media.[5]
- 1998 Computer vision face tracking for use in a perceptual user interface
- 2000 The OpenCV Library, Dr. Dobbs Journal
- 2006 Stanley: The robot that won the DARPA Grand Challenge, with Sebastian Thrun, Mike Montemerlo, Hendrik Dahlkamp, David Stavens, Andrei Aron, James Diebel, Philip Fong, John Gale, Morgan Halpenny, Gabriel Hoffmann, Kenny Lau, Celia Oakley, Mark Palatucci, Vaughan Pratt, Pascal Stang, Sven Strohband, Cedric Dupont, Lars‐Erik Jendrossek, Christian Koelen, Charles Markey, Carlo Rummel, Joe van Niekerk, Eric Jensen, Philippe Alessandrini, Bob Davies, Scott Ettinger, Adrian Kaehler, Ara Nefian, Pamela Mahoney. Journal of Field Robotics
- 2007 Map-reduce for machine learning on multicore, with Cheng Chu, Sang Kyun Kim, Yi-An Lin, YuanYuan Yu, Andrew Y Ng, Kunle Olukotun. Advances in neural information processing systems
References
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