Ramesh Raskar is an Associate Professor at MIT Media Lab and directs the Camera Culture research group. His focus is on AI and Imaging for health and sustainability.

Ramesh Raskar, Jack Tumblin Computational Photography captures a machine-readable representation of our world to synthesize the essence of our visual experience. What is Computational Photography ?

"Looking Around Corners: New Opportunities in Femto-Photography", Ramesh Raskar, ICCP Conference at CMU, Invited Talk [Video Link] 3D Shape Around a Corner:

This research is supported by research grants from MIT Media Lab sponsors, MIT Lincoln Labs and the Army Research Office through the Institute for Soldier Nanotechnologies at MIT. Ramesh Raskar is supported by an Alfred P. Sloan Research …

R Raskar, Michael Cohen Symposium on Interactive 3D Graphics, Atlanta GA, April 1999 Efficient Image Generation for Multiprojector and Multisurface Displays

Ramesh Raskar⁄ Amit Agrawal Mitsubishi Electric Research Labs (MERL), Cambridge, MA Jack Tumblin Northwestern University (a) Blurred Image (b) Rectified Crop (c) Deblurred Image Figure 1: Coded exposure enables recovery of fine details in the deblurred image. (a) Photo of a fast moving vehicle. (b) User clicks on four

Ramesh Raskar, Greg Welch, Kok-lim Low Deepak Bandyopadhyay Shader Lamps: Animating Real Objects with Image-Based Illumination

Time Resolved Multi‐path Imaging: Plans Scene with hidden elements Capture Lasers, scene, sensors, ICCD time profiles Raw Data Signal

Ramesh Raskar, Jack Tumblin MERL and Northwestern University, USA Abstract Computational photography combines plentiful computing, digital sensors, modern optics, actuators, probes and smart lights to escape the limitations of traditional film cameras and enables novel imaging applications. Unbounded dynamic

Ramesh Raskar, Greg Welch, Wei-Chao Chen. University of North Carolina at Chapel Hill {raskar, welch, ciao}@cs.unc.edu