scholarly journals Review of light field technologies

2021 ◽  
Vol 4 (1) ◽  
Author(s):  
Shuyao Zhou ◽  
Tianqian Zhu ◽  
Kanle Shi ◽  
Yazi Li ◽  
Wen Zheng ◽  
...  
Keyword(s):  
Light Field ◽  
Depth Estimation ◽  
Industrial Applications ◽  
Light Fields ◽  
Physical Concept ◽  
Network Bandwidth ◽  
The Past ◽  
Art Research ◽  
Near Future ◽  
Field Imaging

AbstractLight 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 the amount of light flowing in every direction through every point in space. The physical concept of light fields was first proposed in 1936, and light fields are becoming increasingly important in the field of computer graphics, especially with the fast growth of computing capacity as well as network bandwidth. In this article, light field imaging is reviewed from the following aspects with an emphasis on the achievements of the past five years: (1) depth estimation, (2) content editing, (3) image quality, (4) scene reconstruction and view synthesis, and (5) industrial products because the technologies of lights fields also intersect with industrial applications. State-of-the-art research has focused on light field acquisition, manipulation, and display. In addition, the research has extended from the laboratory to industry. According to these achievements and challenges, in the near future, the applications of light fields could offer more portability, accessibility, compatibility, and ability to visualize the world.

scholarly journals How depth estimation in light fields can benefit from super-resolution?

2018 ◽  
Vol 15 (1) ◽  
pp. 172988141774844 ◽  
Author(s):  
Mandan Zhao ◽  
Gaochang Wu ◽  
Yebin Liu ◽  
Xiangyang Hao
Keyword(s):  
High Resolution ◽  
Light Field ◽  
Three Dimensional ◽  
Super Resolution ◽  
Depth Estimation ◽  
Light Fields ◽  
Trade Off ◽  
Depth Maps ◽  
Field Imaging

With the development of consumer light field cameras, the light field imaging has become an extensively used method for capturing the three-dimensional appearance of a scene. The depth estimation often requires a dense sampled light field in the angular domain or a high resolution in the spatial domain. However, there is an inherent trade-off between the angular and spatial resolutions of the light field. Recently, some studies for super-resolving the trade-off light field have been introduced. Rather than the conventional approaches that optimize the depth maps, these approaches focus on maximizing the quality of the super-resolved light field. In this article, we investigate how the depth estimation can benefit from these super-resolution methods. Specifically, we compare the qualities of the estimated depth using (a) the original sparse sampled light fields and the reconstructed dense sampled light fields, and (b) the original low-resolution light fields and the high-resolution light fields. Experiment results evaluate the enhanced depth maps using different super-resolution approaches.

Development of Corrosion and Wear Resistant Coatings by an Improved HVOF Spraying Process

2005 ◽  
Vol 475-479 ◽  
pp. 237-240
Author(s):  
Yasunari Ishikawa ◽  
Jin Kawakita ◽  
Seiji Kuroda
Keyword(s):  
Industrial Applications ◽  
Hvof Spraying ◽  
Wear Resistant Coatings ◽  
Spray Process ◽  
The Past ◽  
Property Evaluation ◽  
Hvof Spray ◽  
Near Future ◽  
Sprayed Coatings ◽  
Spraying Process

We have developed an improved HVOF spray process called “Gas-shrouded HVOF” (GS-HVOF) over the past several years. By using an extension nozzle at the exit of a commercial HVOF spray gun, GS-HVOF is capable of controlling the oxidation of sprayed materials during flight as well as achieving higher velocity of sprayed particles. These features result in extremely dense and clean microstructure of the sprayed coatings. The process has been successfully applied to corrosion resistant alloys such as SUS316L, Hastelloy C, and alloy 625 as well as cermets such as WC-Cr3C2-Ni. The spray process, coatings microstructure and property evaluation will be discussed with potential industrial applications in the near future.

scholarly journals Depth Estimation from Light Field Geometry Using Convolutional Neural Networks

Sensors ◽  
2021 ◽  
Vol 21 (18) ◽  
pp. 6061
Author(s):  
Lei Han ◽  
Xiaohua Huang ◽  
Zhan Shi ◽  
Shengnan Zheng
Keyword(s):  
Neural Networks ◽  
Feature Extraction ◽  
Convolutional Neural Networks ◽  
Field Data ◽  
Light Field ◽  
Depth Estimation ◽  
Computational Time ◽  
Synthetic Image ◽  
Light Field Imaging ◽  
Field Imaging

Depth estimation based on light field imaging is a new methodology that has succeeded the traditional binocular stereo matching and depth from monocular images. Significant progress has been made in light-field depth estimation. Nevertheless, the balance between computational time and the accuracy of depth estimation is still worth exploring. The geometry in light field imaging is the basis of depth estimation, and the abundant light-field data provides convenience for applying deep learning algorithms. The Epipolar Plane Image (EPI) generated from the light-field data has a line texture containing geometric information. The slope of the line is proportional to the depth of the corresponding object. Considering the light field depth estimation as a spatial density prediction task, we design a convolutional neural network (ESTNet) to estimate the accurate depth quickly. Inspired by the strong image feature extraction ability of convolutional neural networks, especially for texture images, we propose to generate EPI synthetic images from light field data as the input of ESTNet to improve the effect of feature extraction and depth estimation. The architecture of ESTNet is characterized by three input streams, encoding-decoding structure, and skipconnections. The three input streams receive horizontal EPI synthetic image (EPIh), vertical EPI synthetic image (EPIv), and central view image (CV), respectively. EPIh and EPIv contain rich texture and depth cues, while CV provides pixel position association information. ESTNet consists of two stages: encoding and decoding. The encoding stage includes several convolution modules, and correspondingly, the decoding stage embodies some transposed convolution modules. In addition to the forward propagation of the network ESTNet, some skip-connections are added between the convolution module and the corresponding transposed convolution module to fuse the shallow local and deep semantic features. ESTNet is trained on one part of a synthetic light-field dataset and then tested on another part of the synthetic light-field dataset and real light-field dataset. Ablation experiments show that our ESTNet structure is reasonable. Experiments on the synthetic light-field dataset and real light-field dataset show that our ESTNet can balance the accuracy of depth estimation and computational time.

Improved Depth Estimation for Occlusion Scenes Using a Light-Field Camera

2020 ◽  
Vol 86 (7) ◽  
pp. 443-456
Author(s):  
Changkun Yang ◽  
Zhaoqin Liu ◽  
Kaichang Di ◽  
Changqing Hu ◽  
Yexin Wang ◽  
...  
Keyword(s):  
Field Data ◽  
Light Field ◽  
State Of The Art ◽  
Depth Estimation ◽  
Data Sets ◽  
Identification Algorithm ◽  
Novel Method ◽  
Light Field Imaging ◽  
The Cost ◽  
Field Imaging

With the development of light-field imaging technology, depth estimation using light-field cameras has become a hot topic in recent years. Even through many algorithms have achieved good performance for depth estimation using light-field cameras, removing the influence of occlusion, especially multi-occlusion, is still a challenging task. The photo-consistency assumption does not hold in the presence of occlusions, which makes most depth estimation of light-field imaging unreliable. In this article, a novel method to handle complex occlusion in depth estimation of light-field imaging is proposed. The method can effectively identify occluded pixels using a refocusing algorithm, accurately select unoccluded views using the adaptive unoccluded-view identification algorithm, and then improve the depth estimation by computing the cost volumes in the unoccluded views. Experimental results demonstrate the advantages of our proposed algorithm compared with conventional state-of-the art algorithms on both synthetic and real light-field data sets.

EPIModules on a Geodesic: Toward 360° Light-Field Imaging

2019 ◽  
Vol 2019 (3) ◽  
pp. 636-1-636-6
Author(s):  
H. Harlyn Baker ◽  
Gregorij Kurillo ◽  
Allan Miller ◽  
Alessandro Temil ◽  
Tom Defanti ◽  
...  
Keyword(s):  
Light Field ◽  
Light Field Imaging ◽  
Field Imaging

Understanding Molecular Process and Chemotherapeutics for the Management of Breast Cancer.

2020 ◽  
Vol 14 ◽  
Author(s):  
Abhishek Kumar ◽  
Neeraj Masand ◽  
Vaishali M. Patil
Keyword(s):  
Breast Cancer ◽  
Molecular Mechanisms ◽  
Molecular Targets ◽  
Molecular Classification ◽  
Neoplastic Disease ◽  
Molecular Process ◽  
The Past ◽  
Anti Cancer ◽  
Molecular Etiology ◽  
Near Future

Abstract: Breast cancer is the most common and highly heterogeneous neoplastic disease comprised of several subtypes with distinct molecular etiology and clinical behaviours. The mortality observed over the past few decades and the failure in eradicating the disease is due to the lack of specific etiology, molecular mechanisms involved in initiation and progression of breast cancer. Understanding of the molecular classes of breast cancer may also lead to new biological insights and eventually to better therapies. The promising therapeutic targets and novel anti-cancer approaches emerging from these molecular targets that could be applied clinically in the near future are being highlighted. In addition, this review discusses some of the details of current molecular classification and available chemotherapeutics

scholarly journals Potential application of gold nanoparticles in food packaging: a mini review

Gold Bulletin ◽  
2021 ◽  
Author(s):  
Saeed Paidari ◽  
Salam Adnan Ibrahim
Keyword(s):  
Gold Nanoparticles ◽  
Potential Application ◽  
Food Industry ◽  
Food Packaging ◽  
Industrial Applications ◽  
Mechanisms Of Action ◽  
Microbial Load ◽  
Food Sector ◽  
The Past ◽  
Industry Applications

AbstractIn the past few decades, there have been remarkable advances in our knowledge of gold nanoparticles (AuNPs) and synthesizing methods. AuNPs have become increasingly important in biomedical and industrial applications. As a newly implemented method, AuNPs are being used in nanopackaging industries for their therapeutic and antibacterial characteristics as well as their inert and nontoxic nature. As with other NPs, AuNPs have privileges and disadvantages when utilized in the food sector, yet a significant body of research has shown that, due to the specific nontoxic characteristics, AuNPs could be used to address other NP flaws. In this mini review, we present synthesizing methods, food industry applications, and mechanisms of action of gold nanoparticles. Regarding the investigations, gold nanoparticles can play a major role to reduce microbial load in foodstuff and therefore can be implemented in food packaging as an effective approach.

scholarly journals A cosmic microscope for the preheating era

2021 ◽  
Vol 2021 (1) ◽  
Author(s):  
JiJi Fan ◽  
Zhong-Zhi Xianyu
Keyword(s):  
Scalar Field ◽  
Nonlinear Effect ◽  
Large Scale ◽  
Nonlinear Effects ◽  
Light Fields ◽  
Unique Probe ◽  
Light Scalar ◽  
Spatially Varying ◽  
Near Future ◽  
Scalar Perturbations

Abstract Light fields with spatially varying backgrounds can modulate cosmic preheating, and imprint the nonlinear effects of preheating dynamics at tiny scales on large scale fluctuations. This provides us a unique probe into the preheating era which we dub the “cosmic microscope”. We identify a distinctive effect of preheating on scalar perturbations that turns the Gaussian primordial fluctuations of a light scalar field into square waves, like a diode. The effect manifests itself as local non-Gaussianity. We present a model, “modulated partial preheating”, where this nonlinear effect is consistent with current observations and can be reached by near future cosmic probes.

Patents for Critical Pharmaceuticals: The AZT Case

1991 ◽  
Vol 17 (1-2) ◽  
pp. 145-180
Author(s):  
Evan Ackiron
Keyword(s):  
The United States ◽  
Incentive System ◽  
The Public ◽  
Incentive Programs ◽  
The Past ◽  
Research And Innovation ◽  
Monopoly Pricing ◽  
Conflicting Interests ◽  
Necessary Evil ◽  
Near Future

Patents and other statutory types of market protections are used in the United States to promote scientific research and innovation. This incentive is especially important in research intensive fields such as the pharmaceutical industry. Unfortunately, these same protections often result in higher monopoly pricing once a successful product is brought to market. Usually this consequence is viewed as the necessary evil of an incentive system that encourages costly research and development by promising large rewards to the successful inventor. However, in the case of the AIDS drug Zidovudine (AZT), the high prices charged by the pharmaceutical company owning the drug have led to public outcry and a re-examination of government incentive systems.This Note traces the evolution of these incentive programs — the patent system, and, to a lesser extent, the orphan drug program — and details the conflicting interests involved in their development. It then demonstrates how the AZT problem brings the interest of providing inventors with incentives for risky innovative efforts into a sharp collision with the ultimate goal of such systems: ensuring that the public has access to the resulting products at a reasonable price. Finally, the Note describes how Congress and the courts have attempted to resolve these problems in the past, and how they might best try to solve the AZT problem in the near future.

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