Shree K. Nayar
Shree K. Nayar | |
---|---|
human-computer interactions | |
Institutions | Columbia University |
Academic advisors | Katsushi Ikeuchi Takeo Kanade |
Shree K. Nayar is an engineer and computer scientist known for his contributions to the fields of computer vision, computational imaging, and computer graphics. He is the T. C. Chang Professor of Computer Science in the School of Engineering at Columbia University.[2] Nayar co-directs the Columbia Vision and Graphics Center and is the head of the Computer Vision Laboratory (CAVE),[3] which develops advanced imaging and computer vision systems.[4] Nayar also served as a director of research at Snap Inc. He was elected member of the US National Academy of Engineering in 2008 and the American Academy of Arts and Sciences in 2011 for his pioneering work on computational cameras and physics based computer vision.
Early life
Shree K. Nayar was born in Bangalore to Malayali parents from Travancore. He is the grandson of former Chief Minister of Kerala, Pattom A. Thanu Pillai.[5]
Education and career
Nayar received a B.E. in electrical engineering from
Nayar worked as a research engineer for Taylor Instruments in New Delhi in 1984. From 1986 to 1990 he was a graduate research assistant at
Research
Nayar's research is in the field of computational imaging[2] and computer vision and focuses on the creation of novel cameras, physics based models for vision and graphics, and algorithms for image understanding.[3][8][9][10][11][12] His work is motivated by applications in the fields of machine vision, digital imaging, computer graphics, robotics, and human-computer interactions. Nayar developed the concept of computational cameras[2] and is a leading researcher in the field of computational imaging and computer vision. The field of computational photography is organized according to a taxonomy proposed by him.[13]
Nayar's inventions include cameras that can capture 360 degree,[12] high dynamic range,[11] and three-dimensional images. He demonstrated the concept of a self-powered camera that can produce video using power harvested by the light captured by the camera without requiring an external power source.[14][15][16] His method of using assorted pixels for single-shot high dynamic range imaging[17] has been incorporated into image sensors that are currently being used by cameras in smartphones, tablets and other mobile devices. In 2017, Popular Photography published a profile of Nayar that describes his impact on digital imaging and smartphone cameras.[18]
Nayar developed the
Recognition
Nayar has received several best paper awards for his scientific publications, including the
References
- ^ "Columbia's Shree Nayar awarded Okawa Prize for contributions to digital photography". Onmanorama. Retrieved 2024-05-03.
- ^ a b c "Computational Imaging". graphics.stanford.edu. Stanford University: Broad Area Colloquium. 2001. Retrieved 2021-08-28.
- ^ a b "CAVE | Computer Vision Laboratory". www.cs.columbia.edu. Retrieved 2021-08-28.
- ^ "Shree K. Nayar | Short Biography". .cs.columbia.edu. Retrieved 2013-04-08.
- ^ "Columbia's Shree Nayar awarded Okawa Prize for contributions to digital photography". www.onmanorama.com. Retrieved 2024-05-03.
- ^ "Birla Institute of Technology, Mesra". alumni.bitmesra.ac.in. Retrieved 2021-08-28.
- ^ "Shree Nayar • Electrical and Computer Engineering". North Carolina State University. Retrieved 2021-08-28.
- ^ Anne Eisenberg (29 July 2004). "WHAT'S NEXT; Fleeting Experience, Mirrored in Your Eyes". The New York Times.
- ^ Steven Levy (2004-07-11). "MEET THE EYE CAM - Newsweek and The Daily Beast". Newsweek.com. Retrieved 2013-04-08.
- ^ Reed, Susan E. (31 January 2002). "In the Labs; Equipment Check: Backpack, Goggles . . ". The New York Times.
- ^ a b Eisenberg, Anne (7 September 2000). "WHAT'S NEXT; New Image Technology Can Drive Shadows Away". The New York Times.
- ^ a b Deutsch, Claudia H. (3 February 1997). "One Camera That Offers Many Views". The New York Times.
- ^ "CAVE | Projects: What is a Computational Camera?". www1.cs.columbia.edu. Retrieved 2021-08-28.
- ^ "'Eternal' camera can take pictures forever". BBC News. 2015-04-17. Retrieved 2021-08-28.
- ^ "This Camera Is Powered by Light". Discover Magazine. Retrieved 2021-08-28.
- ^ a b "A Self-Powered Camera". Popular Science. 2019-03-18. Retrieved 2021-08-28.
- ^ "Sony IMX378: Comprehensive Breakdown of the Google Pixel's Sensor and its Features". xda-developers. 2016-10-12. Retrieved 2021-08-28.
- ^ "The Camera Man". www.magzter.com. Retrieved 2021-08-28.
- ^ "Bigshot: Home - Team". Bigshotcamera.org. Archived from the original on 2012-07-21. Retrieved 2013-04-08.
- ^ "BigShot: Snap-together camera introduces kids to tech, and to their world". CSMonitor.com. 2010-01-06. Retrieved 2013-04-08.
- ^ "Bigshot Camera: Change Observer". Design Observer. Retrieved 2013-04-08.
- ^ "Google Scholar Record of S. Nayar".
- ^ "First Principles of Computer Vision - YouTube". www.youtube.com. Retrieved 2021-08-28.
- ^ "Shree Nayar Honored for Pioneering Research in Computer Vision". www.cs.columbia.edu. 2019-10-01. Retrieved 2021-08-28.
- ^ Japan, Information Processing Society of. "FUNAI Achievement Award-Information Processing Society of Japan". www.ipsj.or.jp. Retrieved 2021-08-28.
- ^ "Great Teacher Award - WikiCU, the Columbia University wiki encyclopedia". www.wikicu.com. Retrieved 2021-08-28.
- ^ "Society of Columbia Graduates - WikiCU, the Columbia University wiki encyclopedia". www.wikicu.com. Retrieved 2021-08-28.
- ^ "Shree K. Nayar | Curriculum Vitae". www.cs.columbia.edu. Retrieved 2021-08-28.
External links
- Shree K. Nayar’s Home Page
- Computer Science Department, Columbia University
- Columbia Engineering
- Columbia University
- National Academy of Engineering
- American Academy of Arts and Sciences
- National Academy of Inventors
- National Science Foundation
- David and Lucile Packard Foundation
- W. M. Keck Foundation
- Snap Research
- First Principles of Computer Vision