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 …
Light field salient object detection: A review and benchmark
Salient object detection (SOD) is a long-standing research topic in computer vision with
increasing interest in the past decade. Since light fields record comprehensive information of …
increasing interest in the past decade. Since light fields record comprehensive information of …
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 …
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 …
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 …
Real-time monocular depth estimation using synthetic data with domain adaptation via image style transfer
A Atapour-Abarghouei… - Proceedings of the IEEE …, 2018 - openaccess.thecvf.com
Monocular depth estimation using learning-based approaches has become promising in
recent years. However, most monocular depth estimators either need to rely on large …
recent years. However, most monocular depth estimators either need to rely on large …
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 …
Depth estimation with occlusion modeling using light-field cameras
Light-field cameras have become widely available in both consumer and industrial
applications. However, most previous approaches do not model occlusions explicitly, and …
applications. However, most previous approaches do not model occlusions explicitly, and …
Robust light field depth estimation using occlusion-noise aware data costs
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 …
been developed using a range of light field properties. However, conventional data costs fail …
[PDF][PDF] 几何光场三维成像综述
殷永凯， 于锴， 于春展， 白雪纯， 蔡泽伟… - Chinese Journal of …, 2021 - researching.cn
摘要光场成像拓展了经典光学成像的信息维度, 为成像技术的提升和突破提供了更多的可能性,
是计算成像领域的重要研究内容. 光场携带了目标和场景的三维信息, 通过对光场数据进行合理 …
是计算成像领域的重要研究内容. 光场携带了目标和场景的三维信息, 通过对光场数据进行合理 …