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J. O. Wallgrün, J. Huang, J. Zhao, A. Masrur, D. Oprean, A. Klippel
2017 The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
We present our approach for creating low-cost multi-platform virtual and augmented reality site experiences of real world places for education and research purposes, making extensive use of Structure-from-Motion  ...  for creating and maintaining such applications by combining declarative content specification methods with a central linked-data based spatio-temporal information system.  ...  John Morris and the Belize Institute of Archaeology for their support of Belize Valley Archaeological Reconnaissance (BVAR) field research project.  ... 
doi:10.5194/isprs-archives-xlii-2-w8-263-2017 fatcat:kltoifddkbgq5nysdhxr2cw7qy

A Human-Centric Model for Sustainable Asset Management in Railway: A Case Study

Ravdeep Kour, Miguel Castaño, Ramin Karim, Amit Patwardhan, Manish Kumar, Rikard Granström
2022 Sustainability  
In this research, the applicability of such advanced technologies i.e., Virtual Reality, Mixed Reality, and AI have been reviewed for the railway asset management.  ...  Thus, the aim of this paper is to propose a human-centric design model for the enhancement of railway asset management using Artificial Intelligence, Virtual Reality, and Mixed Reality technologies.  ...  These data are transferred to eMaintenance cloud in the form of point cloud.  ... 
doi:10.3390/su14020936 fatcat:ltylj3lewnadbp77dbknbk3br4

ePointDA: An End-to-End Simulation-to-Real Domain Adaptation Framework for LiDAR Point Cloud Segmentation [article]

Sicheng Zhao, Yezhen Wang, Bo Li, Bichen Wu, Yang Gao, Pengfei Xu, Trevor Darrell, Kurt Keutzer
2021 arXiv   pre-print
Extensive experiments adapting from synthetic GTA-LiDAR to real KITTI and SemanticKITTI demonstrate the superiority of ePointDA for LiDAR point cloud segmentation.  ...  Existing SRDA methods for LiDAR point cloud segmentation mainly employ a multi-stage pipeline and focus on feature-level alignment.  ...  Acknowledgments This work is supported by the National Natural Science Foundation of China (No. 61701273), Berkeley DeepDrive, and the Zhongguancun Haihua Institute for Frontier Information Technology.  ... 
arXiv:2009.03456v2 fatcat:k5wtohd77bfnhep2ekn4cqkjru

Cloud-based XR Services: A Survey on Relevant Challenges and Enabling Technologies

Theodoros Theodoropoulos, Antonios Makris, Abderrahmane Boudi, Tarik Taleb, Uwe Herzog, Luis Rosa, Luis Cordeiro, Konstantinos Tserpes, Elena Spatafora, Alessandro Romussi, Enrico Zschau, Manos Kamarianakis (+3 others)
2022 Journal of networking and network applications  
In recent years, the emergence of XR (eXtended Reality) applications, including Holography, Augmented, Virtual and Mixed Reality, has resulted in the creation of rather demanding requirements for Quality  ...  XR Services.  ...  ACKNOWLEDGMENT This work is part of the CHARITY project that has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 101016509.  ... 
doi:10.33969/j-nana.2022.020101 fatcat:jx5glflmhvhdjf2geigudxzpp4


M. Alvarez-Mesa, S. Sanz-Rodriguez, C. C. Chi, M. Glowiak, R. Haring
2019 Zenodo  
The new tools have been validated in two advanced immersive installations, and using new immersive content created with different techniques (8K camera, 3D CGI, and point clouds) that has been produced  ...  In this article we present a set of tools designed to simplify the distribution, playback, and adaptation of high-quality immersive content for new immersive environments.  ...  There are on-going efforts under MPEG for the development of a specific video codec for point clouds that will allow to compress directly the point cloud representation, Schwarz et al (6) .  ... 
doi:10.5281/zenodo.3973078 fatcat:6pnpv6jetvddzfa3hpcqx2p4gi

MIXR: A Standard Architecture for Medical Image Analysis in Augmented and Mixed Reality

Benjamin Allison, Xujiong Ye, Faraz Janan
2020 2020 IEEE International Conference on Artificial Intelligence and Virtual Reality (AIVR)  
MIXR consists of several components used in literature; however, tied together for reconstructing volume data in 3D space.  ...  Our focus here is on the reconstruction mechanism for CT and MRI data in XR; nevertheless, the framework we propose has applications beyond these modalities.  ...  These rays are cast through a 3D volume referred to as a 3D Voxel, the 3D point cloud containing the quadruple values.  ... 
doi:10.1109/aivr50618.2020.00053 fatcat:pqtrve32pjftza5or6v7nybh7i

Official Survey Data and Virtual Worlds—Designing an Integrative and Economical Open Source Production Pipeline for xR-Applications in Small and Medium-Sized Enterprises

Wolfgang Höhl
2020 Big Data and Cognitive Computing  
The applications can be classified according to the taxonomy of Anthes et al., with regard to output devices and software development.  ...  Developing integrated Virtual Reality applications for geographic information systems VRGIS today, we are facing following problems: georeferenced data are currently available in many different data formats  ...  My thanks also go to Ralf Bill at the University of Rostock for his valuable advice. Last but not least, my sincere gratitude goes to Gudrun Klinker at TUM, who kindly made this research possible.  ... 
doi:10.3390/bdcc4040026 fatcat:qru52d6v5vdwhjueasde6xfetm

Measuring Vehicle Profile Size: Lidar-Based System and K-Frame-Based Methodology

Qiang Zhang, Zihao Wang, Jianwen Shao, Libo Weng, Fei Gao
2021 Sensors  
In this paper, a lidar-based system with a K-frame-based algorithm is proposed for measuring vehicle profile size.  ...  In the second group experiments, various types of vehicles are chosen to verify the generality and repeatability of the proposed system and methodology.  ...  original point cloud data; 2.  ... 
doi:10.3390/s21186206 pmid:34577413 fatcat:oshvhsvmyjh65ea6h5uqw74y3e

3D-Visualization of Ultrasonic NDT Data Using Mixed Reality

Jörg Rehbein, Sebastian-Johannes Lorenz, Jens Holtmannspötter, Bernd Valeske
2022 Journal of nondestructive evaluation  
For visualization, texture mapping was applied on a 3D model. The testing process consists of data recording, processing and visualization. All three steps are performed in real-time.  ...  The size of the samples is not limited to a laboratory scale, but also works for larger objects, e.g. a helicopter fuselage.  ...  The second part of the demonstrator is a mixed reality headset. We use the Varjo XR-1 head mounted display suitable for augmented and virtual reality applications [22] .  ... 
doi:10.1007/s10921-022-00860-7 fatcat:iv2ytqqc6rgjtlszqhry5tt3je


Bogdan Salii, KROK University
Furthermore, patent analysis was conducted for better understanding of XR development direction and biggest influencers among countries.  ...  This point provide socialization which is important for school age students, especially in war, pandemic, or other unpleasant circumstances, while currently used video communications technologies cannot  ...  In this cloud, darker colors represent relevant topics of the past years while brightermodern.  ... 
doi:10.36690/2674-5208-2022-2-85 fatcat:ypnhkofsarhj7pqobf7nu6c6va

The map as a part of mixed reality the implementation of construction projects in BIM technology

Ireneusz Wyczałek
2018 Archiwum Instytutu Inżynierii Lądowej  
The subject of this publication is the introduction to the issue of this aspect of XR/MR applications and the indication of directions of 3D mapping development in accordance with the requirements for  ...  From technological point of view BIM includes a set of procedures for spatial modeling of designed building structures to support modern design, construction and operation techniques from the early stage  ...  In this case these are techniques for acquiring and processing data (point clouds) from 3D laser scanning or digital photos.  ... 
doi:10.21008/j.1897-4007.2018.27.12 fatcat:e6tmpm5mhjei5bih4j5nl62qlm

Advances in Spatially Faithful (3D) Telepresence [chapter]

Seppo Valli, Mika Hakkarainen, Pekka Siltanen
2021 Augmented Reality [Working Title]  
Benefits of AR technologies have been well proven in collaborative industrial applications, for example in remote maintenance and consultancy.  ...  An advanced 3D telepresence solution benefits from using XR technologies. Particularly interesting are solutions based on HMD or glasses type of near-eye-displays (NED).  ...  Advances in Spatially Faithful (3D) Telepresence DOI:  ... 
doi:10.5772/intechopen.99271 fatcat:p47pcuqou5cqvkggiu2selbb2e

Framework for Armature-Based 3D Shape Reconstruction of Sensorized Soft Robots in eXtended Reality

Elvis I. A. Borges, Jonas S. I. Rieder, Doris Aschenbrenner, Rob B. N. Scharff
2022 Frontiers in Robotics and AI  
In this work, we present an open-source framework for real-time 3D reconstruction of soft robots in eXtended Reality (Augmented and Virtual Reality), based on signals from their proprioceptive sensors.  ...  However, the complicated three-dimensional (3D) configurations of the soft robot can be difficult to interpret using traditional visualization techniques.  ...  The appearance of a soft robot can be reconstructed in real-time as a point cloud (Wang et al., 2020) . However, this representation cannot be directly used for visualization in XR.  ... 
doi:10.3389/frobt.2022.810328 pmid:35572373 pmcid:PMC9096452 fatcat:ngu4fvj4bbaxhc7di2inqmfgoy

3DTI-Net: Learn Inner Transform Invariant 3D Geometry Features using Dynamic GCN [article]

Guanghua Pan and Jun Wang and Rendong Ying and Peilin Liu
2018 arXiv   pre-print
In this paper, we propose a general framework for point cloud learning.  ...  Deep learning on point clouds has made a lot of progress recently.  ...  in 3D deep learning, Rotation invariant features are important in tasks like classification, segmentation or high-level task like 3D retrieval in practical application, for the reason that the point cloud  ... 
arXiv:1812.06254v1 fatcat:dmed4bgm4zbuvhjxtaq62lvaoe

Real-time Progressive 3D Semantic Segmentation for Indoor Scene [article]

Quang-Hieu Pham, Binh-Son Hua, Duc Thanh Nguyen, Sai-Kit Yeung
2019 arXiv   pre-print
In this paper, we propose an efficient yet robust technique for on-the-fly dense reconstruction and semantic segmentation of 3D indoor scenes.  ...  The widespread adoption of autonomous systems such as drones and assistant robots has created a need for real-time high-quality semantic scene segmentation.  ...  Kanezaki [20] proposed an extension of selective search for object proposal on 3D point cloud.  ... 
arXiv:1804.00257v5 fatcat:b4tnakzyl5d7vogmmlycjizd54
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