Ramesh Raskar

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Ramesh Raskar
Ramesh Raskar (11539797465).jpg
Ramesh Raskar in 2013.
Born1970
CitizenshipIndian
Alma mater University of North Carolina at Chapel Hill
Government College of Engineering Pune (COEP), University of Pune
Purushottam English School, Nashik
Known for Shader lamps, Femtophotography, CORNAR, Computational photography, HR3D, EyeNetra StreetAddressForAll
AwardsTR100, Lemelson–MIT Prize, ACM SIGGRAPH Achievement Award 2017
Scientific career
Fields Computer scientist
Institutions Massachusetts Institute of Technology
Doctoral advisor Henry Fuchs and Greg Welch

Ramesh Raskar is a Massachusetts Institute of Technology associate professor and head of the MIT Media Lab's Camera Culture research group. [2] [3] [4] Previously he worked as a senior research scientist at Mitsubishi Electric Research Laboratories (MERL) during 2002 to 2008. [5] He holds 132 patents in computer vision, computational health, sensors and imaging. [6] [7] He received the $500K Lemelson–MIT Prize in 2016. [8] The prize money will be used for launching REDX.io, a group platform for co-innovation in Artificial Intelligence. [9] He is well known for inventing EyeNetra (mobile device to calculate spectacle glasses prescription), EyeCatra (cataract screening) and EyeSelfie (retinal imaging), Femto-photography (trillion frames per second imaging)[ citation needed ] and his TED talk for cameras to see around corners. [10]

Contents

In February 2020, Raskar and his team launched Private Kit: SafePaths, a public health tool for contact tracing for COVID-19 pandemic. He is also the Founder and Chief Scientist of PathCheck. He is a co-founder of Akasha.im which was acquired by Alphabet spin-off company Intrinsic. [11]

Early life and education

Ramesh Raskar was born in Nashik, India and he finished his engineering education from College of Engineering, Pune. [12] [13] He finished his PhD at UNC Chapel Hill in 2002. [14] [15]

Mitsubishi Electric Research Laboratories

Raskar joined Mitsubishi Electric Research Laboratories in 2002. [16] His significant contribution in computer vision and imaging domain led him to win 'TR 100' in 2004, 'The Global Indus Technovator Award' in 2004 respectively. [17] [18]

MIT Media Lab

Raskar joined MIT Media Lab in 2008. [19] Raskar, together with others developed a computational display technology that allows observers with refractive errors, cataracts and some other eye disorders to perceive a focused image on a screen without wearing refraction-corrective spectacles. The technology uses a light field display in combination with customized filtering algorithms that pre-distort the presented content for the observer. [20] [21]

His lab produced a number of extreme highspeed pictures using a femto-camera that took images at around one-trillion frames per second. [22] They have also developed a camera to see around corners using bursts of laser light. [23]

Juliett Fiss has covered his role as the catalyst behind the Siggraph NEXT program at Siggraph 2015 in Los Angeles. [24]

Raskar was awarded the "2017 CG Achievement Award" by ACM SIGGRAPH for his potential contribution in computational photography and light transport and their applications for social impact. [25]

He has been influential in deploying research ideas in the real world. Startups created by members of his CameraCulture research group include EyeNetra.com (ophthalmic tests), Photoneo (high speed 3D sensing), Labby (AI for food testing), Lumii (novel printing for 3D imagery), LensBricks (computer vision with computational imaging), Tesseract (personalized display) and more. Non-profits emerging from his efforts include REDX.io (AI for Social Impact), MIT Emerging Worlds, LVP-MITra, REDX-WeSchool, DigitalImpactSquare and more.

He serves on the Expert Commission of $3.5 Billion Botnar Fondation as AI and Health expert.

JJ Abrams and Ramesh Raskar at MIT Media Lab, 2012 JJ Abrams and Ramesh Raskar.jpg
JJ Abrams and Ramesh Raskar at MIT Media Lab, 2012

Philosophies on innovation

Raskar has presented a series of talks and workshops on innovation processes.

They include his Idea Hexagon, How to give an engaging talk, How to prepare for a thesis, How to write a paper and the Spot-Probe method for problem–solution identification. In 2019, he presented doctoral hooding commencement speech at UNC Chapel Hill. [26]

Key ideas from his interview with Lemelson Foundation are as follows.

Idea Hexagon framework by Ramesh Raskar depicts how to invent new ideas from a given a central idea 'X' using six formulas. IdeaHexagonRaskar2.png
Idea Hexagon framework by Ramesh Raskar depicts how to invent new ideas from a given a central idea 'X' using six formulas.

See the world in a new or different way, and great things will happen. The next generation of young inventors will then spot a whole new set of problems and probe for solutions that no one can begin to predict. [27]

Philosophy of DAPS/DOPS and its global impact

In his recent talk, Raskar mentioned, "Instead of apps, let’s think about DAPS (Digital Applications for Physical Services) Or DOPS. If you want to make it broader, we can have DOPS (Digital Opportunities for Physical Services). With DOPS and DAPS we have an opportunity to impact the physical world in areas where we simply couldn’t before". [28]

REDX.io

Raskar's philosophy on 'Learn, Think and Apply' encourages him to form REDX.io platform. REDX's goal is to promote peer to peer learning, peer to peer problem solving in more systematic ways! REDX labs are working on following keywords: Wearables, Agriculture, Camera, Health, Unorganized Sector, Satellite Imaging, Machine Learning, Mobile, Social Graph, Crowd Sourcing, Sensors. They are physical lab with very well-funded and innovators working with critical problems. REDX Mumbai is funded by TATA trust. DISQ in Nashik funded by TCS foundations, a multibillion-dollar lab. REDX lab in Brazil is well funded by local trust. REDX clubs operate as non-profit organizations. Innovators and their solutions have the opportunity to interact with other REDX clubs and work in REDX labs worldwide. The onboarding process to become a REDX club includes a 10-week course, appointing a board and an academic advisor, establishing a community coalition, and recruiting innovators and mentors. Clubs receive certification directly from Dr.Raskar. [29]

Awards and fellowships

Related Research Articles

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<span class="mw-page-title-main">Bokeh</span> Aesthetic quality of blur in the out-of-focus parts of an image

In photography, bokeh is the aesthetic quality of the blur produced in out-of-focus parts of an image, whether foreground or background or both. It is created by using a wide aperture lens.

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A light field, or lightfield, is a vector function that describes the amount of light flowing in every direction through every point in a space. The space of all possible light rays is given by the five-dimensional plenoptic function, and the magnitude of each ray is given by its radiance. Michael Faraday was the first to propose that light should be interpreted as a field, much like the magnetic fields on which he had been working. The term light field was coined by Andrey Gershun in a classic 1936 paper on the radiometric properties of light in three-dimensional space.

<span class="mw-page-title-main">Computational photography</span> Set of digital image capture and processing techniques

Computational photography refers to digital image capture and processing techniques that use digital computation instead of optical processes. Computational photography can improve the capabilities of a camera, or introduce features that were not possible at all with film-based photography, or reduce the cost or size of camera elements. Examples of computational photography include in-camera computation of digital panoramas, high-dynamic-range images, and light field cameras. Light field cameras use novel optical elements to capture three dimensional scene information which can then be used to produce 3D images, enhanced depth-of-field, and selective de-focusing. Enhanced depth-of-field reduces the need for mechanical focusing systems. All of these features use computational imaging techniques.

A high-speed camera is a device capable of capturing moving images with exposures of less than 1/1 000 second or frame rates in excess of 250 frames per second. It is used for recording fast-moving objects as photographic images onto a storage medium. After recording, the images stored on the medium can be played back in slow motion. Early high-speed cameras used photographic film to record the high-speed events, but have been superseded by entirely electronic devices using an image sensor, typically recording over 1 000 frames per second onto DRAM, to be played back slowly to study the motion for scientific study of transient phenomena.

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<span class="mw-page-title-main">Autostereoscopy</span> Any method of displaying stereoscopic images without the use of special headgear or glasses

Autostereoscopy is any method of displaying stereoscopic images without the use of special headgear, glasses, something that affects vision, or anything for eyes on the part of the viewer. Because headgear is not required, it is also called "glasses-free 3D" or "glassesless 3D". There are two broad approaches currently used to accommodate motion parallax and wider viewing angles: eye-tracking, and multiple views so that the display does not need to sense where the viewer's eyes are located. Examples of autostereoscopic displays technology include lenticular lens, parallax barrier, and integral imaging. Volumetric and holographic displays are also autostereoscopic, as they produce a different image to each eye, although some do make a distinction between those types of displays that create a vergence-accommodation conflict and those that do not.

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<span class="mw-page-title-main">Bokode</span> Data tags that are read out of focus

A bokode is a type of data tag which holds much more information than a barcode over the same area. They were developed by a team led by Ramesh Raskar at the MIT Media Lab. Bokodes are intended to be read by any standard digital camera, focusing at infinity. With this optical setup, the tiny code appears large enough to read. Bokodes are readable from different angles and from 4 metres (13 ft) away.

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NETRA is a mobile eye diagnostic device developed at MIT Media Lab consisting of a clip-on eyepiece and a software app for smart phones. The co-inventors include Ramesh Raskar and Vitor Pamplona. It can be seen as the inverse of expensive Shack-Hartmann sensors. NETRA allows for the early, low-cost diagnosis of the most common refractive Refractive Disorders. The subject looks into the device and aligns patterns on the display. By repeating this procedure for eight meridians, the required refractive correction is computed. NETRA exploits the fact that aberrations are expressed using only a few parameters to create an easier user interaction approach. Leveraging mobile connectivity, the system can transmit test data to appropriate facilities for immediate action, aggregate data for use in analysis, or instruct a separate machine for automatic dispensing of spectacles.

<span class="mw-page-title-main">Femto-photography</span> Technique for recording the propagation of ultrashort light pulses

Femto-photography is a technique for recording the propagation of ultrashort pulses of light through a scene at a very high speed (up to 1013 frames per second). A femto-photograph is equivalent to an optical impulse response of a scene and has also been denoted by terms such as a light-in-flight recording or transient image. Femto-photography of macroscopic objects was first demonstrated using a holographic process in the 1970s by Nils Abramsson at the Royal Institute of Technology (Sweden). A research team at the MIT Media Lab led by Ramesh Raskar, together with contributors from the Graphics and Imaging Lab at the Universidad de Zaragoza, Spain, more recently achieved a significant increase in image quality using a streak camera synchronized to a pulsed laser and modified to obtain 2D images instead of just a single scanline.

<span class="mw-page-title-main">Light-in-flight imaging</span> Techniques for visualizing the propagation of a light ray

Light-in-flight imaging — a set of techniques to visualize propagation of light through different media.

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