Differentiable Optimization for Inverse Problems in Adaptive Optics and Object Tracking

Ivan Vishniakou; Johannes D. Seelig

doi:10.1364/COSI.2023.CTh3B.5

Optica Imaging Congress (3D, COSI, DH, FLatOptics, IS, pcAOP)
Technical Digest Series (Optica Publishing Group, 2023),
paper CTh3B.5
•https://doi.org/10.1364/COSI.2023.CTh3B.5

Differentiable Optimization for Inverse Problems in Adaptive Optics and Object Tracking

Ivan Vishniakou and Johannes D. Seelig

Computational Optical Sensing and Imaging 2023

Boston, Massachusetts United States
14–17 August 2023
ISBN: 978-1-957171-28-9

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Statistical and ML Techniques for Inverse Problems (CTh3B)

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I. Vishniakou and J. D. Seelig, "Differentiable Optimization for Inverse Problems in Adaptive Optics and Object Tracking," in Optica Imaging Congress (3D, COSI, DH, FLatOptics, IS, pcAOP), Technical Digest Series (Optica Publishing Group, 2023), paper CTh3B.5.

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Abstract

Differerntiable model optimization is an approach for solving inverse problems where the forward process is known and deterministic. We employ this approach for wave-front sensing for adaptive optics and other similar problems, such as tracking the identity of multiple indistinguishable objects.

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