Looking Around Corners: New Imaging using Time and Angle Resolved Techniques
Sep 24, 2010
from 10:30 AM to 11:30 AM
|Where||Engr IV Maxwell Room 57-124|
|Add event to calendar||
MIT Media Lab
Friday, September 24, 2010 at 10:30am
Engr IV Maxwell Room 57-124
I will discuss two recent projects that exploit ultra-fast time-resolved imaging and angle-resolved imaging.
Can we look around corners beyond the line of sight? Our goal is to exploit the finite speed of light to improve image capture and scene understanding. New theoretical analysis coupled with emerging ultra-high-speed imaging techniques can lead to a new source of computational visual perception. We are developing the theoretical foundation for sensing and reasoning using transient light transport, and experimenting with scenarios in which transient reasoning exposes scene properties that are beyond the reach of traditional machine vision.
The ever increasing resolution of new LCDs and CMOS sensors in cellphones provides a new opportunity to build imaging and diagnostic platforms. These platforms will soon match the performance of today's high end scientific instruments. NETRA is a cell phone based solution for estimating refractive errors in the human eye. The NETRA autorefractor-like system uses the dual of a Shack-Hartmann sensor, and replaces the laser with simple user interaction. Traditional methods using the Shack-Hartmann sensor shine a laser into the retina, and measure the reflected light with a wavefront sensor. Our goal is to greatly simplify the mechanism by putting the human subject in the loop. The NETRA tool is a small, plastic eyepiece clipped to the front of a cellphone's screen. The subject looks at the LCD screen through this eyepiece and interactively aligns displayed patterns. We create a new range of interactivity that is extremely sensitive to parameters of the human eye, such as the refractive errors, focal range, focusing speed and lens opacity. (http://eyenetra.com and http://raskar.scripts.mit.edu/netra/, joint work with Vitor Pamplona, Ankit Mohan and Manuel Oliveira)
Ramesh Raskar joined the Media Lab from Mitsubishi Electric Research Laboratories in 2008 as head of the Lab's Camera Culture research group. His research interests span the fields of computational photography, inverse problems in imaging and human-computer interaction. Recent inventions include transient imaging to look around corners, next generation CAT-Scan machine, imperceptible markers for motion capture (Prakash), long distance barcodes (Bokode), touch+hover 3D interaction displays (BiDi screen), low-cost eye care devices (Netra) and new theoretical models to augment light fields (ALF) to represent wave phenomena.
He is a recipient of TR100 award from Technology Review, 2004, Global Indus Technovator Award, top 20 Indian technology innovators worldwide, 2003, Alfred P. Sloan Research Fellowship award, 2009 and Darpa Young Faculty award, 2010. He holds 42 US patents and has received four Mitsubishi Electric Invention Awards. He is currently co-authoring a book on Computational Photography. http://raskar.info