Learning in the dark: 3D integral imaging object recognition in very low illumination conditions using convolutional neural networks-Reference-Cited by-同舟云学术

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Learning in the dark: 3D integral imaging object recognition in very low illumination conditions using convolutional neural networks

Published:2018-09-14 Issue:2 Volume:1 Page:373
ISSN:2578-7519
Container-title:OSA Continuum
language:en
Short-container-title:OSA Continuum

Author:

Markman Adam,Javidi Bahram

Funder

Communications-Electronics Research, Development and Engineering Center (CERDEC)

Publisher

The Optical Society

Subject

Electrical and Electronic Engineering,Atomic and Molecular Physics, and Optics,Electronic, Optical and Magnetic Materials

Reference18 articles.

1. A global analysis of factors controlling VIIRS nighttime light levels from densely populated areas

2. Observations of in situ deep-sea marine bioluminescence with a high-speed, high-resolution sCMOS camera

3. Applicability of an EM-CCD for spatially resolved TIR-ICS

4. Photon arrival timing with sub-camera exposure time resolution in wide-field time-resolved photon counting imaging

5. Épreuves réversibles donnant la sensation du relief

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2. Enhancement of Three-Dimensional Computational Integral Imaging via Post-Processing with Visibility Coefficient Estimation;Applied Sciences;2024-06-21

3. 3D object tracking using integral imaging with mutual information and Bayesian optimization;Optics Express;2024-02-15

4. A Comprehensive Review: 3d Object Detection Based on Visible Light Camera, Infrared Camera, and Lidar in Dark Scene;2024

5. 3D integral imaging depth estimation of partially occluded objects using mutual information and Bayesian optimization;Optics Express;2023-06-23

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