Fast Automatic Exposure Adjustment Method for Iris Recognition System

Gnatyuk, Vitaly; Zavalishin, Sergey; Petrova, Xenya; Odinokikh, Gleb; Fartukov, Alexey; Danilevich, Alexey; Eremeev, Vladimir; Yoo, Jinwoo; Lee, Sang Hoon; Lee, Hee Jun; Shin, Dong-Ho; Solomatin, I. A.

doi:10.1109/ecai46879.2019.9042077

Cited by 4 publications

(1 citation statement)

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“…5f ). The software-controlled auto-exposure correction is much slower because it needs multiple frames to adjust the image exposure, which can take seconds depending on the algorithm, computing hardware and illumination conditions 54 . These analyses and Fig.…”

Section: Resultsmentioning

confidence: 99%

Broadband nonlinear modulation of incoherent light using a transparent optoelectronic neuron array

Zhang,

Xu,

et al. 2024

Nat Commun

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Nonlinear optical processing of ambient natural light is highly desired for computational imaging and sensing. Strong optical nonlinear response under weak broadband incoherent light is essential for this purpose. By merging 2D transparent phototransistors (TPTs) with liquid crystal (LC) modulators, we create an optoelectronic neuron array that allows self-amplitude modulation of spatially incoherent light, achieving a large nonlinear contrast over a broad spectrum at orders-of-magnitude lower intensity than achievable in most optical nonlinear materials. We fabricated a 10,000-pixel array of optoelectronic neurons, and experimentally demonstrated an intelligent imaging system that instantly attenuates intense glares while retaining the weaker-intensity objects captured by a cellphone camera. This intelligent glare-reduction is important for various imaging applications, including autonomous driving, machine vision, and security cameras. The rapid nonlinear processing of incoherent broadband light might also find applications in optical computing, where nonlinear activation functions for ambient light conditions are highly sought.

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Section: Resultsmentioning

confidence: 99%