Focus issue introduction: 3D image acquisition and display: technology, perception and applications-Reference-Cited by-同舟云学术

Focus issue introduction: 3D image acquisition and display: technology, perception and applications

Published:2022-01-28 Issue:3 Volume:30 Page:4655
ISSN:1094-4087
Container-title:Optics Express
language:en
Short-container-title:Opt. Express

Author:

Javidi Bahram¹,Hua Hong²^ORCID,Stern Adrian³,Martinez Manuel⁴,Matobe Osamu⁵,Wetzstein Gordon⁶^ORCID

Affiliation:

1. University of Connecticut

2. University of Arizona,

3. Ben-Gurion University of the Negev

4. Universitat de Valéncia, Burjassot

5. Kobe University

6. Stanford University

Abstract

This Feature Issue of Optics Express is organized in conjunction with the 2021 Optica (OSA) conference on 3D Image Acquisition and Display: Technology, Perception and Applications which was held virtually from 19 to 23, July 2021 as part of the Imaging and Sensing Congress 2021. This Feature Issue presents 29 articles which cover the topics and scope of the 2021 3D conference. This Introduction provides a summary of these articles.

Publisher

Optica Publishing Group

Subject

Atomic and Molecular Physics, and Optics

Reference29 articles.

1. Non-line-of-sight optical information transmission through turbid water

2. Implementation of the real–virtual 3D scene-fused full-parallax holographic stereogram

3. Voxel characteristic estimation of integral imaging display system using self-interference incoherent digital holography

4. Three-dimensional polarimetric image restoration in low light with deep residual learning and integral imaging

5. Spatio-temporal continuous gesture recognition under degraded environments: performance comparison between 3D integral imaging (InIm) and RGB-D sensors

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1. 3D Image Reconstruction Using Virtual Reality and Multimodal Deep Learning;International Journal of Image and Graphics;2024-08-22

2. P‐5.1: The Efficient Depth Offset Mapping Encoding Algorithm for Glasses‐free Three‐dimensional Display;SID Symposium Digest of Technical Papers;2024-04

3. Computational Integral Imaging Reconstruction via Elemental Image Blending without Normalization;Sensors;2023-06-09

4. Overview of optical signal detection in turbid water using multidimensional integral imaging with deep learning;Imaging and Applied Optics Congress 2022 (3D, AOA, COSI, ISA, pcAOP);2022