Lens design with automatic differentiation

Wang, Congli; Chen, Ni; Heidrich, Wolfgang

dc.contributor.author	Wang, Congli
dc.contributor.author	Chen, Ni
dc.contributor.author	Heidrich, Wolfgang
dc.date.accessioned	2021-12-06T08:02:46Z
dc.date.available	2021-12-06T08:02:46Z
dc.date.issued	2021-01-01
dc.identifier.citation	Wang, C., Chen, N., & Heidrich, W. (2021). Lens design with automatic differentiation. OSA Imaging and Applied Optics Congress 2021 (3D, COSI, DH, ISA, pcAOP). doi:10.1364/isa.2021.if1d.6
dc.identifier.isbn	9781557528209
dc.identifier.doi	10.1364/ISA.2021.IF1D.6
dc.identifier.uri	http://hdl.handle.net/10754/673913
dc.description.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.
dc.publisher	The Optical Society
dc.rights	Archived with thanks to The Optical Society
dc.title	Lens design with automatic differentiation
dc.type	Conference Paper
dc.contributor.department	Computational Imaging Group
dc.contributor.department	Computer Science Program
dc.contributor.department	Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division
dc.contributor.department	Electrical and Computer Engineering
dc.contributor.department	Electrical and Computer Engineering Program
dc.contributor.department	Visual Computing Center (VCC)
dc.conference.date	2021-07-19 to 2021-07-23
dc.conference.name	Imaging Systems and Applications, ISA 2021 - Part of OSA Imaging and Applied Optics Congress 2021
dc.conference.location	Virtual, Online, USA
dc.eprint.version	Post-print
kaust.person	Wang, Congli
kaust.person	Chen, Ni
kaust.person	Heidrich, Wolfgang
dc.identifier.eid	2-s2.0-85119522739
refterms.dateFOA	2021-12-07T10:58:44Z