Title of Presentation
“Computational Cameras: Redefining the Image”
Computational cameras use new optics to capture a coded image, and an appropriate algorithm to decode the captured image. This approach has enabled us to develop imaging functionalities that would be difficult, if not impossible, to achieve using traditional imaging. In this talk, we will show examples of cameras that have had large-scale impact on both machine intelligence and the way we communicate with each other.
Profile
- Web Site URL
- http://www.cs.columbia.edu/~nayar/
- A brief Biography(As of April 1, 2019)
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Shree K. Nayar is the T. C. Chang Professor of Computer Science at Columbia University. He heads the Columbia Vision Laboratory (CAVE), which develops advanced computational imaging and computer vision systems. He received his PhD degree in Electrical and Computer Engineering from the Robotics Institute at Carnegie Mellon University. For his research and teaching he has received several honors including the David Marr Prize (1990 and 1995), the David and Lucile Packard Fellowship (1992), the National Young Investigator Award (1993), the NTT Distinguished Scientific Achievement Award (1994), the Keck Foundation Award for Excellence in Teaching (1995), the Columbia Great Teacher Award (2006), and the Carnegie Mellon Alumni Achievement Award (2009). For his seminal contributions to computer vision and computational imaging, he was elected to the National Academy of Engineering in 2008, the American Academy of Arts and Sciences in 2011, and the National Academy of Inventors in 2014. Nayar is currently on leave from Columbia University and is serving as Director of NYC Research for Snap, Inc.
- Details of selected Awards and Honors
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Election to the National Academy of Inventors
Tampa, FL, 2014.Election to the American Academy of Arts and Sciences
Boston, MA, 2011.Carnegie Mellon Alumni Achievement Award
Pittsburgh, PA, 2009.Election to National Academy of Engineering
Washington, DC, 2008.Great Teacher Award
Society of Columbia Graduates
Columbia University, New York, 2006.T. C. Chang Endowed Chair
Columbia University, New York, 2003.David Marr Prize
IEEE Computer Society, Outstanding Paper Award
International Conference on Computer Vision, 1990 and 1995.NTT Distinguished Scientific Achievement Award
Information Science Research
NTT Basic Research Laboratory, Japan, 1994.Fellow of the Packard Foundation
1992 Science and Engineering Award
David and Lucile Packard Foundation, Los Altos, 1992.National Young Investigator Award
Information, Robotics and Intelligent Systems Program
National Science Foundation, Washington, D.C. 1991. - A list of selected Publications
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“What Are Optimal Coding Functions for Time-of-Flight Imaging?,” M. Gupta, A. Velten, S.K. Nayar and E. Breitbach, ACM Transactions on Graphics (ACM ToG), (also Proc. Of ACM SIGGRAPH), Vol. 37, No. 2, pp. 13:1-13:18, 2018.
“A Scaling Law for Computational Imaging Using Spherical Objects,” O. Cossairt, D. Miau, and S.K. Nayar, OSA Journal of the Optical Society of America, November 2011.
“Computational Cameras: Redefining the Image,” S.K. Nayar, IEEE Computer Magazine, Special Issue on Computational Photography, 62-70, August 2006.
“Fast Separation of Direct and Global Components of a Scene,” S.K. Nayar, G.K. Krishnan, M.D. Grossberg, and R. Raskar, ACM Transactions on Graphics (Proceedings of SIGGRAPH), August 2006.
“Vision and the Atmosphere,” S.G. Narasimhan and S.K. Nayar, IEEE International Journal of Computer Vision (IJCV), No. 3, 233-254, July-August 2002.
“A Theory of Single-Viewpoint Catadioptric Image Formation,” S. Baker and S.K. Nayar, IEEE International Journal of Computer Vision (IJCV), (35) No. 2, 1-22, November 1999.
“Reflectance and Texture of Real-World Surfaces,” K.J. Dana, B. van Ginneken, S.K. Nayar and J.J. Koenderink, IEEE Transactions on Graphics (ToG), (18) No. 1, 1-34, January 1999.
“Visual Learning and Recognition of 3-D Objects from Appearance,” H. Murase and S.K. Nayar, IEEE International Journal of Computer Vision (IJCV), (14) No. 1, 5-24, January 1995.
“Visual Appearance of Matte Surfaces,” S. K. Nayar and M. Oren, Science, 1153-1156, Vol. 267, No. 5201, February 1995.
“Shape from Interreflections,” S.K. Nayar, K. Ikeuchi and T. Kanade, IEEE International Journal of Computer Vision (IJCV), (6) No. 3, 173-195, August 1991.