Transfer learning and generalization of a neural-network-based multimode fiber position and imaging sensor under thermal perturbations
Fiber specklegrams created through multimode fibers have been utilized in a wide variety of
imaging and sensing applications. In a practical environment it is useful to have a system
that, after an initial calibration, produces reconstructed images and tracks the current state of
relevant physical quantities such as the position or shape of the fiber. Neural networks
provide the ability to extract and generalize the information contained in the specklegrams in
order to produce accurate predictions even when experimental conditions are altered from …
imaging and sensing applications. In a practical environment it is useful to have a system
that, after an initial calibration, produces reconstructed images and tracks the current state of
relevant physical quantities such as the position or shape of the fiber. Neural networks
provide the ability to extract and generalize the information contained in the specklegrams in
order to produce accurate predictions even when experimental conditions are altered from …
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