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Collaborative Large-Scale Dense 3D Reconstruction with Online Inter-Agent Pose Optimisation [article]

Stuart Golodetz, Tommaso Cavallari, Nicholas A Lord, Victor A Prisacariu, David W Murray, Philip H S Torr
2018 arXiv   pre-print
Reconstructing dense, volumetric models of real-world 3D scenes is important for many tasks, but capturing large scenes can take significant time, and the risk of transient changes to the scene goes up  ...  In this paper, we leverage these advances to present what to our knowledge is the first system to allow multiple users to collaborate interactively to reconstruct dense, voxel-based models of whole buildings  ...  We would also like to thank Manar Marzouk and Maria Anastasia Tsitsigkou for their help with the collaborative dataset collection.  ... 
arXiv:1801.08361v1 fatcat:je7uwej2vfenldgzkdnmmmzwsi

Live Collaborative Large-Scale Dense 3D Reconstruction Using Consumer-Grade Hardware

Stuart Golodetz, Tommaso Cavallari, Nicholas A. Lord, Victor A. Prisacariu, David W. Murray, Philip H. S. Torr
2018 2018 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct)  
Abstract-Reconstructing dense, volumetric models of real-world 3D scenes is important for many tasks, but capturing large scenes can take significant time, and the risk of transient changes to the scene  ...  In this paper, we leverage these advances to present what to our knowledge is the first system to allow multiple users to collaborate interactively to reconstruct dense, voxel-based models of whole buildings  ...  We would also like to thank Manar Marzouk and Maria Anastasia Tsitsigkou for their help with the collaborative dataset collection, and Oscar Rahnama, Tom Joy, Daniela Massiceti, Nantas Nardelli, Mohammad  ... 
doi:10.1109/ismar-adjunct.2018.00122 dblp:conf/ismar/GolodetzCLPMT18 fatcat:chk7f5l64jb6lprmxvppwmukgq

FutureMapping: The Computational Structure of Spatial AI Systems [article]

Andrew J. Davison
2018 arXiv   pre-print
Acknowledgements This paper represents my personal opinions and musings, but has benefitted greatly from many discussions and collaborations over recent years.  ...  Dense reconstruction. 3. Pixel-wise scene labelling. Object instance segmentation. 5. 3D object model fitting.  ...  Importantly, a significant portion of the processing associated with large scale SLAM can be built directly into this graph.  ... 
arXiv:1803.11288v1 fatcat:7o2oqthloredtauxwvwkwtcj6e

An Embarrassingly Pragmatic Introduction to Vision-based Autonomous Robots [article]

Marcos V. Conde
2021 arXiv   pre-print
Part of the problem is to get a robot to emulate the perception of human beings, our sense of sight, replacing the eyes with cameras and the brain with mathematical models such as Neural Networks.  ...  In this work, we develop a small-scale autonomous vehicle from scratch, capable of understanding the scene using only visual information, navigating through industrial environments, detecting people and  ...  Objectron: A large scale dataset of object-centric videos in the wild with pose annotations, 2020. [2] Open AI. GitHub Copilot is powered by Codex, the new AI system created by OpenAI.  ... 
arXiv:2112.05534v2 fatcat:3drhsxelvvdwvpsq5rvfpnukam

Advancing COVID-19 Diagnosis with Privacy-Preserving Collaboration in Artificial Intelligence [article]

Xiang Bai, Hanchen Wang, Liya Ma, Yongchao Xu, Jiefeng Gan, Ziwei Fan, Fan Yang, Ke Ma, Jiehua Yang, Song Bai, Chang Shu, Xinyu Zou (+34 others)
2021 arXiv   pre-print
However, concerns surrounding security and trustworthiness impede the collection of large-scale representative medical data, posing a considerable challenge for training a well-generalised model in clinical  ...  Here we show that our FL model outperformed all the local models by a large yield (test sensitivity /specificity in China: 0.973/0.951, in the UK: 0.730/0.942), achieving comparable performance with a  ...  Each dense block consists of two 3D convolution layers and an inter-residual connection, whereas the transmit blocks are composed of a 3D convolution layer and an average pooling layer.  ... 
arXiv:2111.09461v1 fatcat:x4bbfesat5gcxfezpx236q65r4

2018 Index IEEE Transactions on Visualization and Computer Graphics Vol. 24

2019 IEEE Transactions on Visualization and Computer Graphics  
., Errata to "Robust Non-Rigid Motion Tracking and Surface Reconstruction Using L 0 Regularization"; TVCG July 2018 2268 Guo, K., Xu, F., Wang, Y., Liu, Y., and Dai, Q., Robust Non-Rigid Motion Tracking  ...  and Surface Reconstruction Using $L_0$ Regularization; TVCG May 2018 1770-1783 Guo, K., see Xu, L., TVCG Aug. 2018 2284-2297 Inpainting via Two-Stage Low Rank Approximation; TVCG June 2018 2023-2036  ...  Collaborative Large-Scale Dense 3D Reconstruction with Online Inter-Agent Pose Optimisation.  ... 
doi:10.1109/tvcg.2018.2885445 fatcat:xtccdnalwfhudp3qdxofz4kqpi

A Survey of Methods for 3D Histology Reconstruction

Jonas Pichat, Juan Eugenio Iglesias, Tarek Yousry, Sébastien Ourselin, Marc Modat
2018 Medical Image Analysis  
We then successively describe methods for 3D histology recontruction without and with the help of 3D medical imaging.  ...  Three-dimensional (3D) reconstruction was thus introduced to overcome the limitations of single-section studies in a dimensional scope.  ...  Histological reconstruction using 3D medical images This section presents pipelines that aim to improve histology reconstructions with the help of 3D medical images.  ... 
doi:10.1016/ pmid:29502034 fatcat:ta5hlvqjpzenxhltfwh6p4mhqq

Research exhibition "Demonstrators" - Deliverable 5.1 (The Innochain Network Journal #5)

Martin Tamke, Mette Ramsgaard Thomsen, Ruxandra-Stefania Chiujdea
2020 Zenodo  
set of final demonstrators, which presented in many cases a stepping up from previous research trajectories and scales.  ...  All of these have been designed with the idea in mind, that a network of 15 projects shared between academic and industrial partners from all over Europe requires events which allow to review and conclude  ...  Vasey), in collaboration with ITFT, ITECH master studio, IIGS large scale 3d print of a hyper op timised lattice be a m using m achine learning 119 THE EXHIBITION -A TOUR inside View of 3d print of a  ... 
doi:10.5281/zenodo.3948546 fatcat:pz5lkorhvrgkzmscpyg5kwahj4

Where am I? Creating spatial awareness in unmanned ground robots using SLAM: A survey

2015 Sadhana (Bangalore)  
As explained in Kuipers et al (2000) , this paper distinguish between a large-scale space, with spatial structure larger than the agent-sensory horizon, and a small-scale space, with structure within  ...  In Closed-form Online Pose-chain SLAM (COP-SLAM) (Dubbelman & Browning 2013), multi-loop pose-chain graphs are optimised using trajectory bending (Dubbelman et al 2010).  ... 
doi:10.1007/s12046-015-0402-6 fatcat:33hu7lxwsja2fdjepsdxjczd54

Design and additive manufacture for flow chemistry

Andrew J. Capel, Steve Edmondson, Steven D. R. Christie, Ruth D. Goodridge, Richard J. Bibb, Matthew Thurstans
2013 Lab on a Chip  
Figure 106 : 106 3D scatter plot of optimisation 2 data set.  ...  These images can then be imported into the open access Java based image processing software Image J, allowing 3D reconstruction of the part.  ...  Optimisation Macros Attached to this thesis on a separate memory stick are annotated versions of the Chemstation and Visual Basics macros used during the LC reaction optimisation detailed in this thesis  ... 
doi:10.1039/c3lc50844g pmid:24100659 fatcat:xtvdiwlhpre6hctlylxsanqaam

All One Needs to Know about Metaverse: A Complete Survey on Technological Singularity, Virtual Ecosystem, and Research Agenda [article]

Lik-Hang Lee, Tristan Braud, Pengyuan Zhou, Lin Wang, Dianlei Xu, Zijun Lin, Abhishek Kumar, Carlos Bermejo, Pan Hui
2021 arXiv   pre-print
We have created various computer-mediated virtual environments including social networks, video conferencing, virtual 3D worlds (e.g., VR Chat), augmented reality applications (e.g., Pokemon Go), and Non-Fungible  ...  Therefore, designing such agents at scale in the metaverse wold become an urgent issue.  ...  Metaverse users with digital entities can interplay and inter-operate with real-life objects.  ... 
arXiv:2110.05352v3 fatcat:pv4fxf5lfbc7vk3ogsyidwfloy

Learning Neural Textual Representations for Citation Recommendation

Binh Thanh Kieu, Inigo Jauregi Unanue, Son Bao Pham, Hieu Xuan Phan, Massimo Piccardi
2021 2020 25th International Conference on Pattern Recognition (ICPR)  
in Dense Structure with Variable Local Dense Blocks for Super-Resolution Image Reconstruction DAY 3 -Jan 14, 2021 Lin, Hongli; Song, Yongqi; Wang, Weisheng; Zeng, Zixuan; wang, jiayi 877 Aggregating  ...  Pose Estimation with Gated Convolution DAY 4 -Jan 15, 2021 -DAY 2 -Jan 13, 2021 Chen, Zerui; Huang, Yan; Wang, Liang 1456 OS T2.3 On the Robustness of 3D Human Pose Estimation DAY 2 -Jan 13  ... 
doi:10.1109/icpr48806.2021.9412725 fatcat:3vge2tpd2zf7jcv5btcixnaikm

Conference Guide [Front matter]

2020 2020 16th International Conference on Control, Automation, Robotics and Vision (ICARCV)  
We propose a real-time collaborative relative positioning framework to estimate inter-vehicle poses via vision and LiDAR sensors.  ...  enhance their adaptability in large-scale environments.  ...  When the communication network meets the necessary connectivity, we develop a variation of so-called ratio consensus algorithm that deal with malicious attacks.  ... 
doi:10.1109/icarcv50220.2020.9305477 fatcat:4h7gpoj7ljgsrlkjoyw3qcfzxi

NeBula: Quest for Robotic Autonomy in Challenging Environments; TEAM CoSTAR at the DARPA Subterranean Challenge [article]

Ali Agha, Kyohei Otsu, Benjamin Morrell, David D. Fan, Rohan Thakker, Angel Santamaria-Navarro, Sung-Kyun Kim, Amanda Bouman, Xianmei Lei, Jeffrey Edlund, Muhammad Fadhil Ginting, Kamak Ebadi (+60 others)
2021 arXiv   pre-print
This paper presents and discusses algorithms, hardware, and software architecture developed by the TEAM CoSTAR (Collaborative SubTerranean Autonomous Robots), competing in the DARPA Subterranean Challenge  ...  Acknowledgments The work is partially supported by the Jet Propulsion Laboratory, California Institute of Technology, under a contract with the National Aeronautics and Space Administration (80NM0018D0004  ...  We would like to thank the rest of Team CoSTAR, our collaborators, and advisors for their support, fruitful discussions and their contributions to the project.  ... 
arXiv:2103.11470v4 fatcat:rq2wgczzl5clphzgujjdbd3ywm

Person Re-identification: A Retrospective on Domain Specific Open Challenges and Future Trends [article]

Asmat Zahra, Nazia Perwaiz, Muhammad Shahzad, Muhammad Moazam Fraz
2022 arXiv   pre-print
., occlusion, pose scale \& viewpoint variance, background clutter, person misalignment and cross-domain generalization across camera modalities, which makes the problem of re-Id still far from being solved  ...  The module adapts receptive field according to pose and scale of input image and hence resolves the issue of large body variations.  ...  Attention mechanism helped in refining the intra and inter sequence representation of input videos and outputs self and collaborative feature representation of each video.  ... 
arXiv:2202.13121v1 fatcat:luwwbcwspndqpauj4dosmmojee
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