. Homepage of Amit Agrawal, Mitsubishi Electric Research Labs (MERL), Cambridge, MA, USA
Amit Agrawal
Visiting Research Scientist
Mitsubishi Electric Research Labs (MERL)

PhD, 2006
Center for Automation Research
Department of Electrical and Computer Engineering
University of Maryland
Advisor: Prof. Rama Chellappa


Office:    201 Broadway, Cambridge, MA, USA 02139
Phone:    617-621-7567
Email:     mylastname at merl dot com
 


                                


                               


Selected Projects



Coded Aperture and Optical Heterodyning: A mask based approach for Digital Refocusing and Light Field Acquisition by Conventional Cameras
Ashok Veeraraghavan, Ramesh Raskar, Amit Agrawal, Ankit Mohan and Jack Tumblin
ACM SIGGRAPH 2007
Low res pdf, High res pdf
Matlab Code and Images
Talk Slides PPT
Resolving Objects at Higher Resolution from a Single Motion-Blurred Image
Amit Agrawal and Ramesh Raskar
CVPR 2007 (oral)
pdf, Talk Slides PPT

 
Coded Exposure Photography: Motion Deblurring using Fluttered Shutter
Ramesh Raskar, Amit Agrawal and Jack Tumblin
ACM SIGGRAPH 2006
Low res pdf, High res pdf
Matlab Code and Images
Talk Slides PPT, View Slides as html
Flutter Shutter Video Camera

Recent Media: DigitalCameraInfo, Engadget, Photographer, DP Review, Computer Graphics World (CGWorld Japan), Industry News,

Thoughts on Coded Aperture Imaging



Edge Suppression by Gradient Field Transformation using Cross-Projection Tensors 
Amit Agrawal, Ramesh Raskar and Rama Chellappa
CVPR 2006
pdf   Matlab Code

What is the Range of Surface Reconstructions from a Gradient Field?
Amit Agrawal, Ramesh Raskar and Rama Chellappa
ECCV 2006 (oral)
pdf    Matlab Code GUI    Matlab Code Mfiles

Removing Photography Artifacts using Gradient Projection and Flash-Exposure Sampling

An Algebraic Approach to Surface Reconstruction from Gradient Fields
Amit Agrawal, Rama Chellappa and Ramesh Raskar
ICCV 2005
pdf    Matlab Code   



Why I Want A Gradient Camera
Jack Tumblin, Amit Agrawal and Ramesh Raskar
CVPR 2005
pdf










Depth Edges in Real-Time using Multi-flash Camera

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