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Conference on Practical Holography XXXV - displays, Materials, and applications

作者： Erdenebat, Munkh-Uchral Khuderchuluun, Anar dashdavaa, Erkhembaatar Kwon, Ki-Chul Lee, Kwon-Yeon Gil, Sang-Keun Kim, Nam Chungbuk Natl Univ Sch Informat & Commun Engn 1 Chungdae Ro Cheongju 28644 Chungbuk South Korea Sunchon Natl Univ Dept Elect Engn 255 Jungang Ro Sunchon 57922 Jeonnam South Korea Suwon Univ Dept Elect Engn 17 Wauan Gil Hwaseong 18323 Gyeonggi South Korea

ISBN: (数字)9781510642560

ISBN: (纸本)9781510642560

A holographic stereogram printing system is a valuable method to output the natural-view holographic three-dimensional images. Here, the 3d information of the object such as parallax and depth information, are encoded into the elemental holograms, i.e. hogels, and recorded onto the holographic material via the laser illumination of the holographic printing process. However, according to the low resolution of the hogels, the quality of the printed image is reduced. Therefore, in this paper, we propose the real object-based fully automatic high-resolution light field image acquisition system using the one-directional moving camera array and smart motor-driven stage. The proposed high-resolution light field image acquisition system includes interconnected multiple cameras with one-dimensional configuration, the multi-functional smart motor and controller, and the computer-based integration between the cameras and smart motor. After the user inputs the main parameters such as the number of perspectives and distance/rotation between each neighboring perspectives, the multiple cameras capture the high-resolution perspectives of the real object automatically, by shifting and rotating on the smart motor-driven stage, and the captured images are utilized for the hogel generation of the holographic stereogram printing system. Finally, the natural-view holographic three-dimensional visualization of the real-object is outputted on the holographic material through the holographic stereogram printing system. The proposed method verified through the optical experiment, and the experimental results confirmed that the proposed one-dimensional moving camera array-based light field image system can be an effective way to acquire the light field images for holographic stereogram printing.

关键词： Light field image acquisition moving camera array holographic stereogram printing real object quality enhancement

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Application of deep Learning in Multitemporal Remote Sensing image Classification

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REMOTE SENSING 2023年第15期15卷

作者： Cheng, Xinglu Sun, Yonghua Zhang, Wangkuan Wang, Yihan Cao, Xuyue Wang, Yanzhao Capital Normal Univ Beijing Lab Water Resources Secur Beijing 100048 Peoples R China Capital Normal Univ Coll Resources Environm & Tourism Beijing 100048 Peoples R China Capital Normal Univ State Key Lab Urban Environm Proc & Digital Simula Beijing 100048 Peoples R China Minist Educ Key Lab Informat Acquisit & Applicat 3D Beijing 100048 Peoples R China

The rapid advancement of remote sensing technology has significantly enhanced the temporal resolution of remote sensing data. Multitemporal remote sensing image classification can extract richer spatiotemporal features. However, this also presents the challenge of mining massive data features. In response to this challenge, deep learning methods have become prevalent in machine learning and have been widely applied in remote sensing due to their ability to handle large datasets. The combination of remote sensing classification and deep learning has become a trend and has developed rapidly in recent years. However, there is a lack of summary and discussion on the research status and trends in multitemporal images. This review retrieved and screened 170 papers and proposed a research framework for this field. It includes retrieval statistics from existing research, preparation of multitemporal datasets, sample acquisition, an overview of typical models, and a discussion of application status. Finally, this paper discusses current problems and puts forward prospects for the future from three directions: adaptability between deep learning models and multitemporal classification, prospects for high-resolution image applications, and large-scale monitoring and model generalization. The aim is to help readers quickly understand the research process and application status of this field.

关键词： deep learning multitemporal remote sensing images remote sensing classification

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元宇宙下的智慧博物馆研究进展

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中国图象图形学报 2023年第6期28卷 1567-1584页

作者：耿国华贺小伟王美丽袁庆曙尹国军许阳潘志庚西北大学信息科学与技术学院西安710127 西安市分子影像与智能感知重点实验室西安710127 西北农林科技大学信息工程学院杨凌712100 杭州师范大学信息科学与工程学院杭州311121 淮阴工学院设计艺术学院淮安223003 南京信息工程大学人工智能学院南京210044

中华民族拥有五千年的灿烂文化,各民族在各个历史阶段创造出的文物是中华民族繁荣昌盛的见证。博物馆作为文物收藏、文化展示的公共平台,在我国文化传承的过程中起着重要作用,随着科技的发展,当前博物馆已经步入智慧化建设时代。本文对... 详细信息

中华民族拥有五千年的灿烂文化,各民族在各个历史阶段创造出的文物是中华民族繁荣昌盛的见证。博物馆作为文物收藏、文化展示的公共平台,在我国文化传承的过程中起着重要作用,随着科技的发展,当前博物馆已经步入智慧化建设时代。本文对数字化采集技术、文物真实感重建技术、虚拟结合智能交互和智慧平台建设等关键技术进行了对比分析,对诸多数字博物馆与艺术机构的案例进行了比较研究,对在元宇宙下建设智慧博物馆的发展趋势进行了展望。元宇宙技术融入智慧博物馆建设,是把握新一轮科技革命和产业变革新机遇的战略方向,有利于博物馆的数字化建设,有利于保护和发展中国优秀传统文化,对促进文化繁荣、构筑文化自信以及建设文化强国具有重要意义。

关键词：元宇宙智慧博物馆数字化采集三维重建虚拟交互

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Three-dimensional imaging diagnostics for plasmas with integral photography and deconvolution techniques

Three-dimensional imaging diagnostics for plasmas with integ...

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3d image acquisition and display: technology, perception and applications, 3d 2020 - Part of Imaging and Applied Optics Congress

作者： Sanpei, Akio Kai, Eisaku Himura, Haruhiko Hayashi, Yasuaki Masamune, Sadao Ohdachi, Satoshi Nagasaki, Kazunobu Kyoto Institute of Technology Goshokaido-cho Matsugasaki Sakyo-ku Kyoto606-8585 Japan Chubu University 1200 Matsumoto-cho Aichi Kasugai487-8501 Japan National Institute for Fusion Science 322-6 Oroshi-cho Toki Gifu509-5292 Japan Kyoto University Gokasho Uji Kyoto611-0011 Japan

An integral photography and deconvolution techniques have been applied to observe plasmas, i.e. continuous translucent luminous objects. We experimentally succeeded in distinguishing the three-dimensional distribution... 详细信息

ISBN: (纸本)9781557528209

关键词： Photography

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Axial spatial resolution in digital in-line holography for particle tracking

Axial spatial resolution in digital in-line holography for p...

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3d image acquisition and display: technology, perception and applications, 3d 2020 - Part of Imaging and Applied Optics Congress

作者： Lobera, Julia Palero, Virginia Roche, Eva M. Climente, Marina Gómez Ma López Torres, Ana Andrés, Nieves Arroyo, Ma Pilar Universidad de Zaragoza C/Mariano Esquillor s/n Zaragoza50018 Spain

The axial spatial resolution is considered for different in-line configurations. Experiments with high particle seeding density show that a tilted illumination, with an aperture to eliminate the twin image, provides t... 详细信息

ISBN: (纸本)9781557528209

关键词： image resolution

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Overview of three dimensional (3d) integral imaging (InIm) based human gesture recognition under degraded environments

Overview of three dimensional (3D) integral imaging (InIm) b...

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3d image acquisition and display: technology, perception and applications, 3d 2020 - Part of Imaging and Applied Optics Congress

作者： Javidi, Bahram Krishnan, Gokul Shen, Xin Sotoca, Jose M. Pla, Filiberto Latorre-Carmona, Pedro Department of Electrical and Computer Engineering University of Connecticut StorrsCT06269 United States Massachusetts College of Liberal Arts Computer Science Dept 375 Church Street North AdamsMA01247 United States Institute of New Imaging Technologies Universitat Jaume I Campus Riu Sec s/n Castelló de la Plana12071 Spain University of Burgos Department of Computer Science Avda. Cantabria s/n Burgos09006 Spain

We overview the performance of three dimensional (3d) integral imaging based human gesture recognition techniques under degraded environments. Using 3d integral imaging-based strategies we find substantial improvement... 详细信息

ISBN: (纸本)9781557528209

关键词： Gesture recognition

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Learning-based depth estimation on wide angle images with non linear distortion

Learning-based depth estimation on wide angle images with no...

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3d image acquisition and display: technology, perception and applications, 3d 2020 - Part of Imaging and Applied Optics Congress

作者： Buquet, Julie Zhang, Jinsong Roulet, Patrice Lalonde, Jean-Francois Thibault, Simon Faculty of Science and Engineering Laval University 1045 Avenue de la médecine local 1033 QuébecQCG1V 0A6 Canada Insititut d'Optique Graduate School 2 Rue Augustin Fresnel Palaiseau91120 France Immervision 2020 Boulevard Robert Bourassa local 2320 MontréalQCH3A 2A5 Canada

We developed a Convolutional Neural Network to estimate depth on wide-angle images using panomorph lens with controlled distortion. We simulated three different lens model and compared their performances based on thei... 详细信息

ISBN: (纸本)9781557528209

关键词： Convolutional neural networks

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Vision augmentation via see-through displays and optics

Vision augmentation via see-through displays and optics

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3d image acquisition and display: technology, perception and applications, 3d 2020 - Part of Imaging and Applied Optics Congress

作者： Itoh, Yuta Tokyo Institute of Technology 4259 Nagatsutacho Midoriku Kanagawa Yokohama226-0026 Japan

ISBN: (纸本)9781557528209

Optical see-through near-eye displays (OST-NEds) is a key component for the augmented reality (AR) applications. Although this technology has not yet permeated enough in our life as virtual reality headsets do, both academia and industries are intensively exploring the potential of OST-NEd technology. The issue of making an ultimate OST-NEd lies in its constraints of the trade-off among important specifications such as between the field of view and the form factor. Nevertheless, the capability of OST-NEd that can augment the user's direct view shows us the potential to expand human vision capability aside from typical AR glasses applications. In this invited talk, I thus explore the concept of vision augmentation, future applications of OST-NEd that can arbitrarily modulate our vision to assist our daily life. I will introduce our recent progress in augmented vision including smart eyeglasses, smart sunglasses, eyeglasses for color -blindness, and so on. I will also discuss how maintaining the feedback loop of eye measurement and dynamic display control would be important in realizing potential vision augmentation applications. © OSA 2020, © 2020 The Author(s)

关键词： Augmented reality

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PQA-Net: deep No Reference Point Cloud Quality Assessment via Multi-View Projection

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IEEE TRANSACTIONS ON CIRCUITS ANd SYSTEMS FOR VIdEO technology 2021年第12期31卷 4645-4660页

作者： Liu, Qi Yuan, Hui Su, Honglei Liu, Hao Wang, Yu Yang, Huan Hou, Junhui Shandong Univ Sch Control Sci & Engn Jinan 250061 Peoples R China Shandong Univ Sch Informat Sci & Engn Qingdao 266237 Peoples R China Shandong Univ Sch Elect Informat Qingdao 266071 Peoples R China Tianjin Univ Sch Elect & Informat Engn Tianjin 300072 Peoples R China Qingdao Univ Coll Comp Sci & Technol Qingdao 266071 Peoples R China City Univ Hong Kong Dept Comp Sci Hong Kong Peoples R China

Recently, 3d point cloud is becoming popular due to its capability to represent the real world for advanced content modality in modern communication systems. In view of its wide applications, especially for immersive communication towards human perception, quality metrics for point clouds are essential. Existing point cloud quality evaluations rely on a full or certain portion of the original point cloud, which severely limits their applications. To overcome this problem, we propose a novel deep learning-based no reference point cloud quality assessment method, namely PQA-Net. Specifically, the PQA-Net consists of a multi-view-based joint feature extraction and fusion (MVFEF) module, a distortion type identification (dTI) module, and a quality vector prediction (QVP) module. The dTI and QVP modules share the feature generated from the MVFEF module. By using the distortion type labels, the dTI and the MVFEF modules are first pre-trained to initialize the network parameters, based on which the whole network is then jointly trained to finally evaluate the point cloud quality. Experimental results on the Waterloo Point Cloud dataset show that PQA-Net achieves better or equivalent performance comparing with the state-of-the-art quality assessment methods. The code of the proposed model will be made publicly available to facilitate reproducible research https://***/qdushl/PQA-Net.

关键词： Three-dimensional displays Measurement distortion Quality assessment Feature extraction Geometry image color analysis No-reference point cloud quality assessment deep neural network multi-task learning multi-view

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Compressing 3d imaging by coded aperture correlation digital holography

Compressing 3D imaging by coded aperture correlation digital...

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3d image acquisition and display: technology, perception and applications, 3d 2020 - Part of Imaging and Applied Optics Congress

作者： Liu, Chao Wan, Yuhong Man, Tianlong Qin, Yi College of Applied Sciences Beijing University of Technology 100 Ping Le Yuan Chaoyang District Beijing100124 China College of Mechanical and Electrical Engineering Nanyang Normal University Nanyang473061 China Department of Physics and Astronomy Vrije Universiteit Amsterdam Netherlands

Compressive reconstruction algorithm based adaptive dictionary learning is developed and used for single-exposure non-scanning 3d imaging by interferenceless Coded Aperture Correlation Holography. Background noise and... 详细信息

ISBN: (纸本)9781557528209

关键词： Holography

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