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    Lens design with automatic differentiation

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    Thumbnail
    Name:
    Lens design with automatic differentiation.pdf
    Size:
    320.2Kb
    Format:
    PDF
    Download
    Type
    Conference Paper
    Authors
    Wang, Congli cc
    Chen, Ni cc
    Heidrich, Wolfgang cc
    KAUST Department
    Computational Imaging Group
    Computer 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
    2021-01-01
    Permanent link to this record
    http://hdl.handle.net/10754/673913
    
    Metadata
    Show full item record
    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.
    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
    Publisher
    The Optical Society
    Conference/Event name
    Imaging Systems and Applications, ISA 2021 - Part of OSA Imaging and Applied Optics Congress 2021
    ISBN
    9781557528209
    DOI
    10.1364/ISA.2021.IF1D.6
    ae974a485f413a2113503eed53cd6c53
    10.1364/ISA.2021.IF1D.6
    Scopus Count
    Collections
    Conference Papers; Computer Science Program; Electrical and Computer Engineering Program; Visual Computing Center (VCC); Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division

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