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Geollery: A Mixed Reality Social Media Platform 19

Geollery: A Mixed Reality Social Media Platform

引用

CHI conference on Human Factors in Computing Systems (CHI)

作者： du, Ruofei Li, david Varshney, Amitabh Univ Maryland Dept Comp Sci College Pk MD 20742 USA

ISBN: (纸本)9781450359702

We present Geollery, an interactive mixed reality social media platform for creating, sharing, and exploring geotagged information. Geollery introduces a real-time pipeline to progressively render an interactive mirrored world with three-dimensional (3d) buildings, internal user-generated content, and external geotagged social media. This mirrored world allows users to see, chat, and collaborate with remote participants with the same spatial context in an immersive virtual environment. We describe the system architecture of Geollery, its key interactive capabilities, and our design decisions. Finally, we conduct a user study with 20 participants to qualitatively compare Geollery with another social media system, Social Street View. Based on the participants' responses, we discuss the benefits and drawbacks of each system and derive key insights for designing an interactive mirrored world with geotagged social media. User feedback from our study reveals several use cases for Geollery including travel planning, virtual meetings, and family gathering.

关键词： virtual reality augmented reality social media GIS street view visualization 3d user interface 3d reconstruction

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Object reconstruction with deep Learning: A Survey 9

Object Reconstruction with Deep Learning: A Survey

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9th IEEE Annual International conference on Cyber Technology in Automation, Control, and Intelligent Systems (IEEE-CYBER)

作者： Gao, Zishu Li, En Yang, Guodong Wang, Zhe Tian, Yunong Liang, Zize Guo, Rui Li, Shengchuan Chinese Acad Sci Inst Automat State Key Lab Management & Control Complex Syst Beijing Peoples R China Univ Chinese Acad Sci Beijing Peoples R China State Grid Shandong Elect Power Co Jinan Peoples R China State Grid Liaoning Elect Power Co Ltd Shenyang Peoples R China

ISBN: (纸本)9781728107707

Object reconstruction is one of the most crucial branches of computer vision. With the development of deep learning, many tasks have achieved remarkable improvements in computer vision. 3d reconstruction with deep learning also has attracted much attention in recent years. deep learning methods based on CNN -based and GAN-based architectures have been adopted for 3d object prediction. In addition, researchers utilize different inputs such as RGB and depth images to achieve prediction based on different problem. In this paper, we provide a detailed overview of recent advances in 3d object reconstruction. The reviewed approaches are categorized into three groups depending on the input modality: RGB-based, depth-based and other-input-based. Particularly, we introduce the various methods and indirectly classify the shape representation. As a survey, we discuss the strong and weak points of exciting approaches.

关键词： Computer vision

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Learning deformable tetrahedral meshes for 3d reconstruction 20

Learning deformable tetrahedral meshes for 3D reconstruction

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Proceedings of the 34th International conference on Neural Information Processing Systems

作者： Jun Gao Wenzheng Chen Tommy Xiang Alec Jacobson Morgan McGuire Sanja Fidler NVIDIA and University of Toronto and Vector Institute NVIDIA and University of Toronto University of Toronto NVIDIA

ISBN: (纸本)9781713829546

3d shape representations that accommodate learning-based 3d reconstruction are an open problem in machine learning and computer graphics. Previous work on neural 3d reconstruction demonstrated benefits, but also limitations, of point cloud, voxel, surface mesh, and implicit function representations. We introduce deformable Tetrahedral Meshes (dEFTET) as a particular parameterization that utilizes volumetric tetrahedral meshes for the reconstruction problem. Unlike existing volumetric approaches, dEFTET optimizes for both vertex placement and occupancy, and is differentiable with respect to standard 3d reconstruction loss functions. It is thus simultaneously high-precision, volumetric, and amenable to learning-based neural architectures. We show that it can represent arbitrary, complex topology, is both memory and computationally efficient, and can produce high-fidelity reconstructions with a significantly smaller grid size than alternative volumetric approaches. The predicted surfaces are also inherently defined as tetrahedral meshes, thus do not require post-processing. We demonstrate that dEFTET matches or exceeds both the quality of the previous best approaches and the performance of the fastest ones. Our approach obtains high-quality tetrahedral meshes computed directly from noisy point clouds, and is the first to showcase high-quality 3d tet-mesh results using only a single image as input.

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Early History of Hungarian Ballet in virtual Reality 10

Early History of Hungarian Ballet in Virtual Reality

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10th IEEE International conference on Cognitive Infocommunications (CogInfoCom)

作者： Gilanyi, Attila Racz, Anna Bolya, Anna Maria Chmielewska, Katarzyna Univ Debrecen Fac Informat Egyet ter 1 H-4032 Debrecen Hungary Hungarian Dance Acad Inst Training Choreographers & Dance Pedagogues POB 472 H-1592 Budapest Hungary Kazimierz Wielki Univ Inst Math Ul Chodkiewicza 30 PL-85064 Bydgoszcz Poland

ISBN: (纸本)9781728147932

In this paper, we describe a system of three-dimensional virtual spaces, which presents objects, facts, documents, and people connected to the beginning of Hungarian ballet, in particular to the first Hungarian prime ballerina and choreographer, Emilia Aranyvary. The venue of the visualization is the contemporary, virtually reconstructed building of the National Theater of Hungary.

关键词： virtual Reality 3d visualization History of Ballet Hungarian Ballet virtual reconstruction Presentation of data and Information in virtual Spaces Inter-Cognitive Communication

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Možnosti využití 3d rekonstrukčních vizualizací pro archeologii

Možnosti využití 3D rekonstrukčních vizualizací pro ar...

引用

作者： Unger, Jiří Charles University of Prague

Mgr. Jiř37; Unger The utilization of 3d computer reconstruction visualizations in archaeology Abstract of dissertation thesis The visual presentation is in the field of archaeology one of the main communication med... 详细信息

Mgr. Jiří Unger The utilization of 3d computer reconstruction visualizations in archaeology Abstract of dissertation thesis The visual presentation is in the field of archaeology one of the main communication media for conveying information and interpreting it. The recent introduction of digital technologies has brought a whole new dimension to archaeological visualisations. As a result of this development, they become three-dimensional, virtual, multifunctional and interactive. Technological development moreover has not only influenced the way how to retrieve and process the data, but greatly expanded as well the ability to simulate and visualize their different aspects in virtual environment. Since the beginning the virtual archaeology has been taken as direction that would bring new groundbreaking knowledge into the archaeology. However, the current situation is that 3d computer visualizations are just popular conference theme than a standard tool of archaeology as a science, and most works on virtual archaeology still needs to advocate the benefits of 3d visualizations. Therefore, the dissertation thesis try to deal with theoretical issues of preparation, organisation and analysis of input data in the process of creation of 3d reconstruction computer models, then with possible solutions of visualization...

关键词： archaeology|3d computer modeling|reconstruction of the past|visual communication|virtual reality

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Fast panoramic 3d shape measurement using the multi-view system with plane mirrors 7

Fast panoramic 3D shape measurement using the multi-view sys...

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7th International conference on Optical and Photonic Engineering (icOPEN)

作者： Yin, Wei Zuo, Chao Feng, Shijie Tao, Tianyang Chen, Qian Nanjing Univ Sci & Technol SCI Lab Nanjing 210094 Jiangsu Peoples R China Nanjing Univ Sci & Technol Jiangsu Key Lab Spectral Imaging & Intelligent Se Nanjing 210094 Jiangsu Peoples R China

ISBN: (数字)9781510631601

ISBN: (纸本)9781510631601

In this paper, we propose a fast panoramic 3d shape measurement technique based on the multi-view system with plane mirrors. Fringe projection profilometry (FPP), as an active 3d measurement technique based on structured light and triangulation, has been one of the most promising methods for measuring dynamic scenes, due to its inherent property of non-contact, full-field, high-precision, and high efficiency. However, for acquiring the 360-degree 3d information of the tested object with complex surfaces, multiple measurements from different perspectives and the complicated registration algorithms need to be implemented, which are time-consuming and low efficiency that limits the potential application of FPP. To solve this problem, by introducing plane mirrors into the traditional FPP system, we develop a mirror-assisted panoramic measurement system, which can capture deformed fringe images of the measured object from three different perspectives simultaneously including a real camera and two virtual cameras realized by plane mirrors. In addition, a robust calibration method is proposed to easily calibrate the mirror, which can be used to convert 3d data obtained from real and virtual perspectives into a common world coordinate system. Then, for low-modulation fringe regions, they are further corrected based on the proposed phase compensation technique. Finally, these proposed techniques constitute a complete computational framework that allows achieving a fast, high-accuracy, and panoramic 3d reconstruction results with high completeness.

关键词： Fringe projection profilometry Panoramic 3d measurement Plane mirrors

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Additive/Subtractive Computer Aided Manufacturing of Customized Implants Based on virtual Prototypes 1

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4th European-Alliance-for-Innovation (EAI) International conference on Future Access Enablers of Ubiquitous and Intelligent Infrastructures (FABULOUS)

作者： Todorov, Georgi Nikolov, Nikolay Sofronov, Yavor Gabrovski, Nikolay Laleva, Maria Gavrilov, Todor Tech Univ Sofia FIT Lab CAD CAM CAE Ind Sofia 1756 Bulgaria Tech Univ Sofia FIT Dept Theory Mech & Machines Sofia 1756 Bulgaria Univ Hosp Pirogov Dept Neurosurg Sofia 1606 Bulgaria

ISBN: (数字)9783030239763

ISBN: (纸本)9783030239763;9783030239756

Using of personal implants for reconstruction of craniofacial harms become more and more important due to the better performance, good fit in the implant area, reduced surgical time and better cosmetic results then traditional mesh. Although creating of such implants is a complex task, but in this article structured process workflow with clearly defined steps was introduced. All of the steps were evaluated with solving of clinical case. In this second article using innovative manufacturing methods based on 3d reconstruction/Modelling and final result were explored in details.

关键词： virtual engineering 3d modelling Craniofacial surgery Patient specific implants CAd CAM surgery Reconstructive surgical procedure

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3d Human Avatar digitization from a Single Image 17

3D Human Avatar Digitization from a Single Image

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17th ACM SIGGRAPH International conference on virtual-Reality Continuum and its Applications in Industry (VRCAI)

作者： Li, Zhong Chen, Lele Liu, Celong Gao, Yu Ha, Yuanzhou Xu, Chenliang Quan, Shuxue Xu, Yi OPPO US Res Ctr Palo Alto CA 94020 USA Univ Rochester Rochester NY USA

ISBN: (纸本)9781450370028

With the development of AR/VR technologies, a reliable and straight-forward way to digitize three-dimensional human body is in high demand. Most existing methods use complex equipment and sophisticated algorithms. This is impractical for everyday users. In this paper, we propose a pipeline that reconstructs 3d human shape avatar at a glance. Our approach simultaneously reconstructs the three-dimensional human geometry and whole body texture map with only a single RGB image as input. We first segment the human body part from the image and then obtain an initial body geometry by fitting the segment to a parametric model. Next, we warp the initial geometry to the final shape by applying a silhouette-based dense correspondence. Finally, to infer invisible backside texture from a frontal image, we propose a network we call InferGAN. Comprehensive experiments demonstrate that our solution is robust and effective on both public and our own captured data. Our human avatars can be easily rigged and animated using MoCap data. We developed a mobile application that demonstrates this capability in AR/VR settings.

关键词： Human body modeling 3d reconstruction Augmented Reality deep Learning

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International conference on Image Processing and Communications, IP and C 2019

International Conference on Image Processing and Communicati...

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International conference on Image Processing and Communications, IP and C 2019

ISBN: (纸本)9783030312534

The proceedings contain 38 papers. The special focus in this conference is on Image Processing and Communications. The topics include: Imbalanced data Classification Using Weighted Voting Ensemble;Evaluation of the MRI Images Matching Using Normalized Mutual Information Method and Preprocessing Techniques;remote Heart Rate Monitoring Using a Multi-band Camera;initial Research on Fruit Classification Methods Using deep Neural Networks;3d Optical reconstruction of Building Interiors for Game development;a Simplified Classification of Electronic Integrated Circuits Packages Based on Shape descriptors;Impact of ICT Infrastructure on the Processing of Large Raster datasets;gated Recurrent Units for Intrusion detection;towards Mobile Palmprint Biometric System with the New Palmprint database;head Motion – Based Robot’s Controlling System Using virtual Reality Glasses;vision System for Pit detection in Cherries;the Impact of distortions on the Image Recognition with Histograms of Oriented Gradients;traffic Feature-Based Botnet detection Scheme Emphasizing the Importance of Long Patterns;Performance Evaluation of the WSW1 Switching Fabric Architecture with Limited Resources;AI-Based Analysis of Selected Gait Parameters in Post-stroke Patients;classification of Multibeam Sonar Image Using the Weyl Transform;learning Local Image descriptors with Autoencoders;the Performance of Three-Hop Wireless Relay Channel in the Presence of Rayleigh Fading;simulation Study of Routing Protocols for Wireless Mesh Networks;call-Level Analysis of a Two-Link Multirate Loss Model with Restricted Accessibility;robustness of Haar Feature-Based Cascade Classifier for Face detection Under Presence of Image distortions;Performance Metrics in OFdM Wireless Networks Under the Bandwidth Reservation Policy;the Analytical Model of complex Non-Full-Availability System.

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Breast3d: An Augmented Reality System for Breast CT and MRI

Breast3D: An Augmented Reality System for Breast CT and MRI

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IEEE International conference on Artificial Intelligence and virtual Reality (AIVR)

作者： Benjamin Allison Xujiong Ye Faraz Janan School of Computer Science University of Lincoln Lincoln UK

ISBN: (数字)9781728174631

ISBN: (纸本)9781728174648

Adoption of virtual Reality (VR), Augmented Reality (AR) and Mixed Reality (MR) - known collectively as Extended Reality (XR) devices has been rapidly increasing over recent years. However, the focus of XR research has shown a lack of diversity in solutions to the problems within medicine, with it being predominantly focused in augmenting surgical procedures. Whilst important, XR applied to aiding medical diagnosis and surgical planning is relatively unexplored. In this paper we present a fully functional mammographic image analysis system, Breast3d, that can reconstruct MRI and CT scan data in XR. With breast cancer Breast Imaging-Reporting and data System (BI-RAdS) risk lexicon, early detection and clinical workflow such as Multi-disciplinary team (MdT) meetings for cancer in mind, our new mammography visualization system reconstructs CT and MRI volumes in a real 3d space. Breast3d is built upon the past literature and inspired from research for diagnosis and surgical planning. In addition to visualising the models in MR using the Microsoft HoloLens, Breast3d is versatile and portable to different XR head-mounted displays such as HTC Vive. Breast3d demonstrates the early potential for XR within diagnostics of 3d mammographic modalities, an application that has been proposed but until now has not been implemented.

关键词： Breast Three-dimensional displays Breast cancer X reality Magnetic resonance imaging Two dimensional displays Image reconstruction

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