Light field image processing: An overview
Light field imaging has emerged as a technology allowing to capture richer visual
information from our world. As opposed to traditional photography, which captures a 2D …
information from our world. As opposed to traditional photography, which captures a 2D …
Low illumination underwater light field images reconstruction using deep convolutional neural networks
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 …
and wavelength absorption. To solve these issues, a great deal of work has been performed …
Disentangling light fields for super-resolution and disparity estimation
Light field (LF) cameras record both intensity and directions of light rays, and encode 3D
scenes into 4D LF images. Recently, many convolutional neural networks (CNNs) have …
scenes into 4D LF images. Recently, many convolutional neural networks (CNNs) have …
Depth-induced multi-scale recurrent attention network for saliency detection
In this work, we propose a novel depth-induced multi-scale recurrent attention network for
saliency detection. It achieves dramatic performance especially in complex scenarios. There …
saliency detection. It achieves dramatic performance especially in complex scenarios. There …
TMSO-Net: Texture adaptive multi-scale observation for light field image depth estimation
Light field can record the four-dimensional information of light rays, ie the position and
direction information in which depth information is implied. To improve the depth estimation …
direction information in which depth information is implied. To improve the depth estimation …
Occlusion-aware cost constructor for light field depth estimation
Matching cost construction is a key step in light field (LF) depth estimation, but was rarely
studied in the deep learning era. Recent deep learning-based LF depth estimation methods …
studied in the deep learning era. Recent deep learning-based LF depth estimation methods …
A dataset and evaluation methodology for depth estimation on 4D light fields
In computer vision communities such as stereo, optical flow, or visual tracking, commonly
accepted and widely used benchmarks have enabled objective comparison and boosted …
accepted and widely used benchmarks have enabled objective comparison and boosted …
Learning-based view synthesis for light field cameras
With the introduction of consumer light field cameras, light field imaging has recently
become widespread. However, there is an inherent trade-off between the angular and …
become widespread. However, there is an inherent trade-off between the angular and …
Soft 3d reconstruction for view synthesis
E Penner, L Zhang - ACM Transactions on Graphics (TOG), 2017 - dl.acm.org
We present a novel algorithm for view synthesis that utilizes a soft 3D reconstruction to
improve quality, continuity and robustness. Our main contribution is the formulation of a soft …
improve quality, continuity and robustness. Our main contribution is the formulation of a soft …
Epinet: A fully-convolutional neural network using epipolar geometry for depth from light field images
Light field cameras capture both the spatial and the angular properties of light rays in space.
Due to its property, one can compute the depth from light fields in uncontrolled lighting …
Due to its property, one can compute the depth from light fields in uncontrolled lighting …