Computational Imaging and Future Cameras

Computational imaging uses new optics to capture a coded image and an appropriate algorithm to decode the captured image. This approach has enabled mobile devices to produce images that are rich, immersive, and interactive. In this talk, we show examples of computational cameras that are transforming the way visual information is captured, communicated, and used by both humans and machines.

Speaker

Shree K. Nayar is the T. C. Chang Endowed Chair Professor of Computer Science at Columbia University, where he heads the Columbia Imaging and Vision Laboratory (CAVE). He received his Ph.D. from the Robotics Institute at Carnegie Mellon University and served as Director of NYC Research at Snap Inc. (2018–2024). His honors include the David Marr Prize (1990, 1995), the Packard Fellowship (1992), the IEEE PAMI Distinguished Researcher Award (2019), the Funai Achievement Award (2021), and the Okawa Prize (2023). He is a member of the National Academy of Engineering, the American Academy of Arts and Sciences, and the National Academy of Inventors.