Deliverables
An updated version the “D6.1 Dissemination, Awareness raising and Communication Plan – Initial version”.
Dissemination, Awareness raising and Communication Plan – Initial versionA report that will describe the strategy, plan and actions to be taken in the framework of ARtwin with respect to dissemination, awareness raising and communication.
Results of dissemination and communication activities - Final versionFinal reporting on the ARtwin dissemination and communication activities
ARtwin requirements specificationA report that will outline the requirements that will drive the architecture specification, the map pivot format specification, the service implementation, the platform development and the implementation of the use cases.
Report on ARtwin generic developmentsA report (including blueprints) that will define the generic developments of the platform from three different views (contractual, edition, operational).
Evaluation report of in the field experimentation of the use casesA report that contains the evaluation of in the field experimentation of the pilot use cases
Results of dissemination and communication activities – Initial versionReporting on the ARtwin dissemination and communication activities.
Report on ARtwin specific developmentsA report including blue prints that will define the specific developments of the platform regarding the three different views contractual edition operational
Map pivot format specificationA report that will specify the pivot format of the map that will be used to develop the respective services provided by the platform.
Preliminary platform specificationA report that will define the architecture of the platform and its supported components.
The software component required to deploy SolAR components in NGPaaS micro services.
The web portal of the project.
Publications
Author(s):
Jérôme Royan; Nam-Duong Duong; Nischita Sudharsan; Andreas Hutter
Published in:
EUCNC 2022, 2022
Publisher:
EUCNC 2022
DOI:
10.5281/zenodo.7551489
Author(s):
Ricardo Fabbri, Timothy Duff, Hongyi Fan, Margaret H. Regan, David da Costa de Pinho, Elias Tsigaridas, Charles W. Wampler, Jonathan D. Hauenstein, Peter J. Giblin, Benjamin Kimia, Anton Leykin, Tomas Pajdla
Published in:
2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020, Page(s) 12070-12080, ISBN 978-1-7281-7168-5
Publisher:
IEEE
DOI:
10.1109/cvpr42600.2020.01209
Author(s):
Barath, Daniel; Polic, Michal; Förstner, Wolfgang; Sattler, Torsten; Pajdla, Tomas; Kukelova, Zuzana
Published in:
Computer Vision – ECCV 2020 ISBN: 9783030586201, Issue 1, 2020
Publisher:
Springer International Publishing
DOI:
10.5281/zenodo.4333706
Author(s):
Hruby, P., Duff, T., Leykin, A., & Pajdla, T.
Published in:
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022, Page(s) pp. 5522-5532
Publisher:
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
DOI:
10.1109/cvpr52688.2022.00545
Author(s):
Timothy Duff, Kathlén Kohn, Anton Leykin, Tomas Pajdla
Published in:
CVPR 2020, 2020
Publisher:
CVPR 2020
Author(s):
Federica Arrigoni,Luca Magri,Tomas Pajdla
Published in:
2020 25th International Conference on Pattern Recognition (ICPR), 2021
Publisher:
2020 25th International Conference on Pattern Recognition (ICPR)
DOI:
10.1109/icpr48806.2021.9413142
Author(s):
Valeriya Lehrbaum, Asa MacWilliams, Joseph Newman, Nischita Sudharsan, Seongjin Bien, Konstantin Karas, Chloe Eghtebas, Sandro Weber, Gudrun Klinker
Published in:
2022 IEEE International Symposium on Mixed and Augmented Reality (ISMAR), Singapore, 2022, Page(s) p. 622-630
Publisher:
2022 IEEE International Symposium on Mixed and Augmented Reality (ISMAR), Singapore
DOI:
10.1109/ismar55827.2022.00079
Author(s):
Daniel Barath, Dmytro Mishkin, Michal Polic, Wolfgang Förstner, Jiri Matas
Published in:
2023
Publisher:
Under review for CVPR 2023
Author(s):
Nam-Duong Duong; Christophe Cutullic; Jean-Marie Hénaff; Jérôme Royan
Published in:
ISMAR 2022, 2022
Publisher:
ISMAR 2022
DOI:
10.5281/zenodo.7551471
Author(s):
Timothy Duff; Kathlén Kohn; Anton Leykin; Tomas Pajdla
Published in:
Computer Vision – ECCV 2020 ISBN: 9783030585730, 2020
Publisher:
ECCV 2020
DOI:
10.5281/zenodo.4335174
Author(s):
M. Dubenova, A. Zderadickova, O. Kafka, T. Pajdla, M. Polic
Published in:
ndres, B., Bernard, F., Cremers, D., Frintrop, S., Goldlücke, B., Ihrke, I. (eds) Pattern Recognition. DAGM GCPR 2022. Lecture Notes in Computer Science, Issue 13485, 2022
Publisher:
https://doi.org/10.1007/978-3-031-16788-1_16
DOI:
10.48550/arxiv.2209.10185
Author(s):
Michal Polic, Stanislav Steidl, Cenek Albl, Zuzana Kukelova, Tomas Pajdla
Published in:
2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020, Page(s) 5990-5999, ISBN 978-1-7281-7168-5
Publisher:
IEEE
DOI:
10.1109/cvpr42600.2020.00603
Author(s):
Federica Arrigoni, Luca Magri, Tomas Pajdla
Published in:
Computer Vision – ECCV 2020 - 16th European Conference, Glasgow, UK, August 23–28, 2020, Proceedings, Part XX, Issue 12365, 2020, Page(s) 514-530, ISBN 978-3-030-58564-8
Publisher:
Springer International Publishing
DOI:
10.1007/978-3-030-58565-5_31
Author(s):
T. Kato, I. Shimizu, T. Pajdla
Published in:
IEICE TRANSACTIONS on Information and Systems, Issue Vol.E105-D No.9, 2022, Page(s) pp.1590-1599, ISSN 1745-1361
Publisher:
The Institute of Electronics, Information and Communication Engineers
DOI:
10.1587/transinf.2021edp7244
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