Who is ramesh raskar

Ankit Mohan Google Research Verified email at media. Paul H. Dietz Misapplied Sciences, Inc. Verified email at misappliedsciences. Verified email at mit. Articles Cited by Public access Co-authors. Title Sort Sort by citations Sort by year Sort by title. Proceedings of the 27th annual conference on Computer graphics and … , Proceedings of the 25th annual conference on Computer graphics and … , Eurographics Workshop on Rendering Techniques, , Proceedings Visualization'99 Cat.

European conference on computer vision, , Open challenges presented in but still relevant a decade later. Computational Light Transport. The research goal is to create an entirely new class of imaging devices and a novel theoretical framework for inverse problems in space-time analysis of light transport.

Two novel forms of imaging show great potential for research and practical applications: i time resolved transient imaging that exploits multi-path analysis and ii angle resolved imaging without lenses for displays, medical devices and phase analysis.

Can we photograph objects that are not in the direct line of sight? Can we automatically identify materials e. Can we build portable CAT-scanning machines with no moving parts? Can we convert LCDs into large lensless cameras? Can exploit high resolution of displays to create unusual scientific and medical instruments? Underlying theoretical contributions include multi-path analysis, spatial heterodyning, augmented light fields and algebraic rank-constraints of 3D displays.

Computational Photography. Intelligent Self-ID and Tagging. Intelligent user interfaces. Patent Analysis for Lemelson Award. Recent Media Coverage. Coverage on Camera Culture group. Spatial Augmented Reality. Invited Presentations. His focus is on AI and Imaging for health and sustainability. They span research in physical e. For publications please see the Camera Culture group page or Google Scholar list. Ramesh Raskar. Contact Info fb. Geo Timelines. But because I scored so highly on my exams from an early age, I found myself on a certain path, and certain doors were opened to me based on my academic abilities.

But a lot of it came from my family, the support they provided, and the example our father set. Most people can conceptualize how sound waves travel — like echoes of sound. They move relatively slowly, and its not difficult to understand how they disperse and flow around a room, or even around a corner. Light is similar, except it travels so much faster that we cannot process or sense the echoes of light in the same way we do sound. But just as sound moves around corners, with femto-photography we are able to use echoes of light to see around corners or through things.

The camera is so fast that you can create slow motion videos of light in motion — and with that we can create cameras that can look around corners or beyond line of sight. Or how it could help with looking for survivors in hazardous conditions like after an earthquake. When x-ray technology was invented, it allowed us for the first time to see inside the body. And we eventually came to to realize that it was useful for all types of diagnostic purposes. It helped us understand the body in a whole new way.

So, too, with femto-phography. Every time you can see the world in a new way it opens up new doors for understanding. Ten or 15 years ago, I probably would have said it was about being clever. But now I realize that cleverness alone is not enough.

The challenges we are facing in our world today are incredibly complex. Take my own work with imaging and machine learning as an example. When we identified the question of how we might see around corners, I realized that the solution is not at the intersection of those two fields.

It is actually outside of both of them. You start to see that the true power of an inventor is less about expertise on one subject, but rather the ability to ask questions no one else is asking and follow the trail of answers as they are revealed. There is a great deal of value in asking challenging questions and spotting problems, but that alone is not usually enough. There is also a need for probing those problems. So it is a continual cycle: Ask a lot of questions.

Spot a lot of problems. Articulate those problems. Then probe their potential solutions. For example, when I was trying to invent a camera that could see around corners, no one was coming to me and asking me to solve that particular problem.