Columbia Computer Vision

Columbia Computer Vision Research and education in the areas of computer vision, computational imaging, digital photography, robotics, computer graphics & human-computer interface. C.

The Computer Vision Laboratory at Columbia University develops advanced computer vision and computational imaging systems. The laboratory is focused on three areas - the creation of novel cameras that provide new forms of visual information, the design of physics based models for vision and graphics, and the development of algorithms for understanding scenes from images. Work in the lab is motivated by applications in the fields of digital imaging, computer graphics, robotics and human-computer interfaces. The CAVE Lab is headed by Shree K. Nayar, the T. Chang Professor of Computer Science.

Daniel Sims and Yonghao Yue with flexible lens arrays.
04/13/2016

Daniel Sims and Yonghao Yue with flexible lens arrays.

Flexible Sheet Cameras Using Elastic Optics
04/13/2016

Flexible Sheet Cameras Using Elastic Optics

Daniel Sims, Yonghao Yue and Shree K. Nayar of the Computer Vision Laboratory have developed a novel sheet camera that can be wrapped around everyday objects...

See how the Eternal Camera works:https://www.youtube.com/watch?v=4CaIOf-Rcvs
03/06/2016

See how the Eternal Camera works:

https://www.youtube.com/watch?v=4CaIOf-Rcvs

In this video, Shree K. Nayar, T.C. Chang Professor of Computer Science at Columbia Engineering, takes us to the Computer Vision Laboratory to demo the self-...

TEDx Talk on Bigshot Camera
02/28/2016

TEDx Talk on Bigshot Camera

Shree K. Nayar is the T. C. Chang Professor of Computer Science at Columbia University. He heads the Columbia Vision Laboratory (CAVE), which develops advanc...

Bigshot: The Camera for Experiential Learning. Build. Learn. Shoot!http://www.bigshotcamera.com/
02/28/2016

Bigshot: The Camera for Experiential Learning. Build. Learn. Shoot!

http://www.bigshotcamera.com/

The Do-It-Yourself Digital Camera for Education. Build! Learn! Use!

Makoto Odamaki and Shree Nayar demonstrate Cambits.
02/28/2016

Makoto Odamaki and Shree Nayar demonstrate Cambits.

CAVE has developed CAMBITS, a modular imaging system that enables the user to create a wide range of computational camer...
02/28/2016

CAVE has developed CAMBITS, a modular imaging system that enables the user to create a wide range of computational cameras. See how it works:

Computer Science Professor Shree Nayar and Makoto Odamaki, a visiting scientist from Ricoh Corporation, have developed Cambits, a modular imaging system that...

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