Lens design with automatic differentiation

Congli Wang; Ni Chen; Wolfgang Heidrich

doi:10.1364/ISA.2021.IF1D.6

Lens design with automatic differentiation

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

We propose to power lens design ray-tracing engines with automatic differentiation. Along with the primal, derivatives are algorithmically obtained for lens parameters. Exploiting the gradient information, applications are shown including design optimization and sensitivity analysis.

Original language	English (US)
Title of host publication	OSA Imaging and Applied Optics Congress 2021 (3D, COSI, DH, ISA, pcAOP)
Publisher	The Optical Society
ISBN (Print)	9781557528209
DOIs	https://doi.org/10.1364/ISA.2021.IF1D.6
State	Published - Jan 1 2021

Access to Document

10.1364/ISA.2021.IF1D.6

https://repository.kaust.edu.sa/bitstream/10754/673913/1/Lens%20design%20with%20automatic%20differentiation.pdf

Cite this

@inproceedings{140c87ee88e241a789880e511d2e1941,

title = "Lens design with automatic differentiation",

abstract = "We propose to power lens design ray-tracing engines with automatic differentiation. Along with the primal, derivatives are algorithmically obtained for lens parameters. Exploiting the gradient information, applications are shown including design optimization and sensitivity analysis.",

author = "Congli Wang and Ni Chen and Wolfgang Heidrich",

note = "KAUST Repository Item: Exported on 2021-12-14",

year = "2021",

month = jan,

day = "1",

doi = "10.1364/ISA.2021.IF1D.6",

language = "English (US)",

isbn = "9781557528209",

booktitle = "OSA Imaging and Applied Optics Congress 2021 (3D, COSI, DH, ISA, pcAOP)",

publisher = "The Optical Society",

address = "United States",

}

TY - GEN

T1 - Lens design with automatic differentiation

AU - Wang, Congli

AU - Chen, Ni

AU - Heidrich, Wolfgang

N1 - KAUST Repository Item: Exported on 2021-12-14

PY - 2021/1/1

Y1 - 2021/1/1

N2 - We propose to power lens design ray-tracing engines with automatic differentiation. Along with the primal, derivatives are algorithmically obtained for lens parameters. Exploiting the gradient information, applications are shown including design optimization and sensitivity analysis.

AB - We propose to power lens design ray-tracing engines with automatic differentiation. Along with the primal, derivatives are algorithmically obtained for lens parameters. Exploiting the gradient information, applications are shown including design optimization and sensitivity analysis.

UR - http://hdl.handle.net/10754/673913

UR - https://www.osapublishing.org/abstract.cfm?URI=ISA-2021-IF1D.6

UR - http://www.scopus.com/inward/record.url?scp=85119522739&partnerID=8YFLogxK

U2 - 10.1364/ISA.2021.IF1D.6

DO - 10.1364/ISA.2021.IF1D.6

M3 - Conference contribution

SN - 9781557528209

BT - OSA Imaging and Applied Optics Congress 2021 (3D, COSI, DH, ISA, pcAOP)

PB - The Optical Society

ER -

Lens design with automatic differentiation

Abstract

Access to Document

Other files and links

Fingerprint

Cite this