Computational imaging with multiply scattered photons - Robotics Institute Carnegie Mellon University
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VASC Seminar

October

3
Mon
Adithya Pediredla Project Scientist Robotics Institute,
Carnegie Mellon University
Monday, October 3
3:00 pm to 4:00 pm
Newell-Simon Hall 3305
Computational imaging with multiply scattered photons

Abstract:  Computational imaging has advanced to a point where the next significant milestone is to image in the presence of multiply-scattered light. Though traditionally treated as noise, multiply-scattered light carries information that can enable previously impossible imaging capabilities, such as imaging around corners and deep inside tissue. The combinatorial complexity of multiply-scattered light transport makes it necessary to use increasingly complex imaging systems to make imaging with multiply-scattered light feasible; examples include time-of-flight, structured-light, and acousto-optic imaging systems. The combined complexity of physics and systems makes the optimization of imaging of multiply-scattered light a challenging, high-dimensional design problem.

In my research, I utilize graphics and physics-based rendering to explore this complex design space and create imaging systems that optimally sense multiply-scattered light. I will show two examples of this approach. First, I will discuss how to develop rendering tools for time-of-flight cameras, and how to use these tools to design and build optimal time-of-flight systems for non-line-of-sight imaging. Second, I will discuss how to simulate continuously-refractive radiative transfer and use such simulations to optimize acousto-optic systems for imaging inside tissue and other scattering media.

 

BioAdithya Pediredla is currently a project scientist at Robotics Institute, Carnegie Mellon University and is joining as a faculty at the Dartmouth College CS department from January 2023. His research interests span computational imaging, physics-based rendering, and their combined use for imaging with multiply-scattered light. He received his Ph.D. in 2019 from Rice University, where his thesis received the Ralph Budd best engineering thesis award. He received his Master’s degree from the Indian Institute of Science, where he received the Prof. K. R. Kambati memorial gold medal, and an innovative student project award from the Indian National Academy of Engineering. He completed his undergraduate studies at the National Institute of Technology, Warangal, India, where he received Institute and N. Ramarao memorial gold medals for academic excellence.

 

Homepage:  https://sites.google.com/view/adithyapediredla/

 

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