Recent advances in lensless imaging
Lensless imaging provides opportunities to design imaging systems free from the constraints
imposed by traditional camera architectures. Due to advances in imaging hardware …
imposed by traditional camera architectures. Due to advances in imaging hardware …
[HTML][HTML] A comprehensive survey on deep facial expression recognition: challenges, applications, and future guidelines
Facial expression recognition (FER) is an emerging and multifaceted research topic.
Applications of FER in healthcare, security, safe driving, and so forth have contributed to the …
Applications of FER in healthcare, security, safe driving, and so forth have contributed to the …
Phlatcam: Designed phase-mask based thin lensless camera
We demonstrate a versatile thin lensless camera with a designed phase-mask placed at sub-
2 mm from an imaging CMOS sensor. Using wave optics and phase retrieval methods, we …
2 mm from an imaging CMOS sensor. Using wave optics and phase retrieval methods, we …
Miniature color camera via flat hybrid meta-optics
The race for miniature color cameras using flat meta-optics has rapidly developed the end-to-
end design framework using neural networks. Although a large body of work has shown the …
end design framework using neural networks. Although a large body of work has shown the …
Shiftaddnet: A hardware-inspired deep network
Multiplication (eg, convolution) is arguably a cornerstone of modern deep neural networks
(DNNs). However, intensive multiplications cause expensive resource costs that challenge …
(DNNs). However, intensive multiplications cause expensive resource costs that challenge …
Image restoration for under-display camera
The new trend of full-screen devices encourages us to position a camera behind a screen.
Removing the bezel and centralizing the camera under the screen brings larger display-to …
Removing the bezel and centralizing the camera under the screen brings larger display-to …
Hybrid diffractive optics design via hardware-in-the-loop methodology for achromatic extended-depth-of-field imaging
End-to-end optimization of diffractive optical elements (DOEs) profile through a digital
differentiable model combined with computational imaging have gained an increasing …
differentiable model combined with computational imaging have gained an increasing …
Robust reconstruction with deep learning to handle model mismatch in lensless imaging
Mask-based lensless imaging is an emerging imaging modality, which replaces the lenses
with optical elements and makes use of computation to reconstruct images from the …
with optical elements and makes use of computation to reconstruct images from the …
Neuromorphic imaging with density-based spatiotemporal denoising
Bio-inspired neuromorphic cameras asynchronously record visual information of dynamic
scenes by discrete events. Due to the high sampling rate, they are capable of fast motion …
scenes by discrete events. Due to the high sampling rate, they are capable of fast motion …
Deep learning-based video stream reconstruction in mass-production diffractive optical systems
V Evdokimova, M Petrov, M Klyueva, E Zybin… - Computer …, 2021 - ui.adsabs.harvard.edu
Many recent studies have focused on develo** image reconstruction algorithms in optical
systems based on flat optics. These studies demonstrate the feasibility of applying a …
systems based on flat optics. These studies demonstrate the feasibility of applying a …