Low illumination underwater light field images reconstruction using deep convolutional neural networks

H Lu, Y Li, T Uemura, H Kim, S Serikawa - Future Generation Computer …, 2018 - Elsevier
Underwater optical images are usually influenced by low lighting, high turbidity scattering
and wavelength absorption. To solve these issues, a great deal of work has been performed …

Review of light field technologies

S Zhou, T Zhu, K Shi, Y Li, W Zheng, J Yong - Visual Computing for …, 2021 - Springer
Light fields are vector functions that map the geometry of light rays to the corresponding
plenoptic attributes. They describe the holographic information of scenes by representing …

Light field depth estimation for non-lambertian objects via adaptive cross operator

Z Cui, H Sheng, D Yang, S Wang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Light field (LF) depth estimation is a crucial basis for LF-related applications. Most existing
methods are based on the Lambertian assumption and cannot deal with non-Lambertian …

Robust depth estimation for light field via spinning parallelogram operator

S Zhang, H Sheng, C Li, J Zhang, Z Xiong - Computer Vision and Image …, 2016 - Elsevier
Removing the influence of occlusion on the depth estimation for light field images has
always been a difficult problem, especially for highly noisy and aliased images captured by …

Depth from shading, defocus, and correspondence using light-field angular coherence

MW Tao, PP Srinivasan, J Malik… - Proceedings of the …, 2015 - cv-foundation.org
Light-field cameras are now used in consumer and industrial applications. Recent papers
and products have demonstrated practical depth recovery algorithms from a passive single …

Robust light field depth estimation using occlusion-noise aware data costs

IK Park, KM Lee - IEEE transactions on pattern analysis and …, 2017 - ieeexplore.ieee.org
Depth estimation is essential in many light field applications. Numerous algorithms have
been developed using a range of light field properties. However, conventional data costs fail …

What sparse light field coding reveals about scene structure

O Johannsen, A Sulc… - Proceedings of the IEEE …, 2016 - openaccess.thecvf.com
In this paper, we propose a novel method for depth estimation in light fields which employs a
specifically designed sparse decomposition to leverage the depth-orientation relationship …

Depth estimation and specular removal for glossy surfaces using point and line consistency with light-field cameras

MW Tao, JC Su, TC Wang, J Malik… - IEEE transactions on …, 2015 - ieeexplore.ieee.org
Light-field cameras have now become available in both consumer and industrial
applications, and recent papers have demonstrated practical algorithms for depth recovery …

SVBRDF-invariant shape and reflectance estimation from light-field cameras

TC Wang, M Chandraker, AA Efros… - Proceedings of the …, 2016 - cv-foundation.org
Light-field cameras have recently emerged as a powerful tool for one-shot passive 3D shape
capture. However, obtaining the shape of glossy objects like metals, plastics or ceramics …

Measurement Technologies of Light Field Camera: An Overview

X Hu, Z Li, L Miao, F Fang, Z Jiang, X Zhang - Sensors, 2023 - mdpi.com
Visual measurement methods are extensively used in various fields, such as aerospace,
biomedicine, agricultural production, and social life, owing to their advantages of high …