Learnable freeform optical system design with differentiable ray tracing

Yunfeng Nie; Jingang Zhang; Runmu Su; Heidi Ottevaere

doi:10.1117/12.2692532

14 September 2023 Learnable freeform optical system design with differentiable ray tracing

Yunfeng Nie, Jingang Zhang, Runmu Su, Heidi Ottevaere

Proceedings Volume 12798, International Optical Design Conference 2023; 127982D (2023) https://doi.org/10.1117/12.2692532
Event: International Optical Design Conference 2023, 2023, Quebec City, QC, Canada

Abstract

Unsupervised deep learning has only been used in rotationally symmetric optical design. This work presents a differentiable three-dimensional ray tracing module and related loss functions, enabling unsupervised learning of non-rationally symmetric freeform optical systems.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Yunfeng Nie, Jingang Zhang, Runmu Su, and Heidi Ottevaere "Learnable freeform optical system design with differentiable ray tracing", Proc. SPIE 12798, International Optical Design Conference 2023, 127982D (14 September 2023); https://doi.org/10.1117/12.2692532

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