Type
Conference PaperAuthors
Wang, Congli
Chen, Ni

Heidrich, Wolfgang

KAUST Department
Computational Imaging GroupComputer Science Program
Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division
Electrical and Computer Engineering
Electrical and Computer Engineering Program
Visual Computing Center (VCC)
Date
2021-01-01Permanent link to this record
http://hdl.handle.net/10754/673913
Metadata
Show full item recordAbstract
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.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.6Publisher
The Optical SocietyConference/Event name
Imaging Systems and Applications, ISA 2021 - Part of OSA Imaging and Applied Optics Congress 2021ISBN
9781557528209ae974a485f413a2113503eed53cd6c53
10.1364/ISA.2021.IF1D.6