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dc.contributor.authorWang, Congli
dc.contributor.authorChen, Ni
dc.contributor.authorHeidrich, Wolfgang
dc.date.accessioned2021-12-06T08:02:46Z
dc.date.available2021-12-06T08:02:46Z
dc.date.issued2021-01-01
dc.identifier.citationWang, 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.isbn9781557528209
dc.identifier.doi10.1364/ISA.2021.IF1D.6
dc.identifier.urihttp://hdl.handle.net/10754/673913
dc.description.abstractWe 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.publisherThe Optical Society
dc.rightsArchived with thanks to The Optical Society
dc.titleLens design with automatic differentiation
dc.typeConference Paper
dc.contributor.departmentComputational Imaging Group
dc.contributor.departmentComputer Science Program
dc.contributor.departmentComputer, Electrical and Mathematical Science and Engineering (CEMSE) Division
dc.contributor.departmentElectrical and Computer Engineering
dc.contributor.departmentElectrical and Computer Engineering Program
dc.contributor.departmentVisual Computing Center (VCC)
dc.conference.date2021-07-19 to 2021-07-23
dc.conference.nameImaging Systems and Applications, ISA 2021 - Part of OSA Imaging and Applied Optics Congress 2021
dc.conference.locationVirtual, Online, USA
dc.eprint.versionPost-print
kaust.personWang, Congli
kaust.personChen, Ni
kaust.personHeidrich, Wolfgang
dc.identifier.eid2-s2.0-85119522739
refterms.dateFOA2021-12-07T10:58:44Z


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