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Takeo Kanade

Computing Methodologies

Takeo Kanade (born October 24, 1945, in Hyogo, Japan) is a Japanese computer scientist regarded as one of the world's foremost researchers in computer vision, with contributions spanning robotics as well. He developed the Lucas-Kanade optical flow method, the Tomasi-Kanade factorization method for structure from motion, early face detection algorithms, and virtualized reality technology for capturing scenes from multiple camera viewpoints. He holds the U.A. and Helen Whitaker professorship at Carnegie Mellon University's School of Computer Science, has authored roughly 300 peer reviewed publications and holds about 20 patents. He was elected to the National Academy of Engineering in 1997, received the Bower Award in 2008 and the Kyoto Prize in Information Sciences in 2016.

Facts
Birth Year
1945 1
Birth Date
1945-10-24 1
Award
ACM Fellow 1
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AAAI Fellow 1
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ACM-AAAI Allen Newell Award 1
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Azriel Rosenfeld Award 1
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IEEE Founders Medal 1
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Kyoto Prize in Advanced Technology 1
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Marr Prize 1
Award
Bower Award and Prize for Achievement in Science 1
Sources
1. Wikidata: Takeo Kanade
Wikidata Q92675, class allow-list match (w-wdresolver-0926)View the Source
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