Poisson and Marked Poisson Processes in 3D Imaging and Microscopy
Speaker: Prof. Vivek Goyal
Affiliation: Boston University
Via Zoom Only: https://ucla.zoom.us/j/96763629578?pwd=YVY2bVJRb1pNODVoa29jUDhkQTVHdz09
Abstract:
Detectors that are capable of sensing a single photon are no longer rare. They are used for 3D imaging on the iPad Pro and in many autonomous vehicles and mobile devices. Similarly, direct electron detection is used in particle-beam microscopy. Detections of such discrete particles are naturally modeled with stochastic arrival processes. This talk will focus on how Poisson process (PP) models for arrivals can be exploited to improve imaging. In lidar, when detector dead times are insignificant, these models can be used directly and lead to accurate depth and reflectivity imaging with as few as one detected photon per pixel. Furthermore, when significant dead times create statistical dependencies, Markov chain modeling can mitigate bias. Also, in focused ion beam microscopy, a Poisson-marked PP model inspires a new way to acquire and interpret the data. In both applications, principled statistical models lead to significant imaging improvements.
Most relevant papers:
https://doi.org/10.1126/science.1246775
https://doi.org/10.1364/OPTICA.403190
https://doi.org/10.1016/j.ultramic.2020.112948
https://arxiv.org/abs/2011.08402
Biography:
Vivek Goyal received his doctoral degree in electrical engineering from the University of California, Berkeley. He was a Member of Technical Staff at Bell Laboratories, a Senior Research Engineer for Digital Fountain, and the Esther and Harold E. Edgerton Associate Professor of Electrical Engineering at MIT. He was an adviser to 3dim Tech, winner of the 2013 MIT $100K Entrepreneurship Competition Launch Contest Grand Prize, and consequently with Google/Alphabet Nest Labs 2014-2016. He is now a Professor of Electrical and Computer Engineering at Boston University. Dr. Goyal is a Fellow of the IEEE and of the OSA, and he and his students have been awarded ten IEEE paper awards and seven thesis awards. He is a co-author of Foundations of Signal Processing (Cambridge University Press, 2014).
For more information, contact Prof. Allie Fletcher (akfletcher@g.ucla.edu)
Date/Time:
Date(s) - Jan 21, 2021
11:00 am - 12:15 pm
Location:
Via Zoom Only
No location, Los Angeles
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