Paper
1 February 2002 Adaptive system for eye-lens aberration correction based on stochastic parallel gradient descent optimization
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Abstract
An adaptive system based on a model-free optimization technique (stochastic parallel gradient descent optimization) is used to correct the aberration in a model of the human eye. The system is composed of a digital camera and a 37 electrode MEMS mirror connected to a computer. Static as well as slowly changing dynamic aberrations are corrected with the system.
© (2002) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Matthew Banta, Mikhail A. Vorontsov, Michael A. DellaVecchia M.D., and Larry Donoso M.D. "Adaptive system for eye-lens aberration correction based on stochastic parallel gradient descent optimization", Proc. SPIE 4493, High-Resolution Wavefront Control: Methods, Devices, and Applications III, (1 February 2002); https://doi.org/10.1117/12.454713
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Cited by 4 scholarly publications.
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KEYWORDS
Eye models

Eye

Image quality

Mirrors

Stochastic processes

Optimization (mathematics)

Electrodes

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