Deliverables
File format implementations verified in LADIO prototypes
Implement lens calibration from 3D Reconstruction in openMVG
Implement GPU optimised version of OpenCMPMVS
RT Acquisition - Implementation of the CamBox and MiniBox
Improve SfM accuracy and precision
SetBox - Implementation of the SetBox
Release implementations as open source
SfM: LiDAR integration
SfM integration for 360° cameras and camera rigs
Implement LADIO Application importers and exporters
Implement SfM Multibody into openMVG
Implement Backend Timeline Module
Implement OpenCMPMVS
Implement advanced OpenCMPMVS - Multibody and LiDAR
Implementation of the Distributed Data Management system
Documentation of the deployed technical mechanisms
Report on Pilot Production
Final project report
Quarterly management reports 1 and 2
Quarterly management reports 3 and 4
Deliver 3D Reconstruction benchmarks with dataset
Documentation of extensions for EBU CCDN, EBUCore and newly defined REST API
Quarterly management reports 5 and 6
List of file formats to use unchanged and recommendation for filling gaps
The LADIO project participates in the pilot on open research data. In this task we will formulate a data management plan to make available data sets that can benefit the academic community and other users.
Searching for OpenAIRE data...
Publications
Author(s): Cenek Albl, Zuzana Kukelova, Andrew Fitzgibbon, Jan Heller, Matej Smid, Tomas Pajdla
Published in: 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017, Page(s) 5593-5602
DOI: 10.1109/CVPR.2017.593
Author(s): Michal Polic, Tomas Pajdla
Published in: Scandinavian Conference on Image Analysis, 2017, Page(s) 110-121
DOI: 10.1007/978-3-319-59126-1_10
Author(s): Hatem A. Rashwan, Sylvie Chambon, Pierre Gurdjos, Geraldine Morin, Vincent Charvillat
Published in: 2016 IEEE International Conference on Image Processing (ICIP), 2016, Page(s) 36-40
DOI: 10.1109/ICIP.2016.7532314
Author(s): Torsten Sattler, Akihiko Torii, Josef Sivic, Marc Pollefeys, Hajime Taira, Masatoshi Okutomi, Tomas Pajdla
Published in: 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017, Page(s) 6175-6184
DOI: 10.1109/CVPR.2017.654
Author(s): Rashwan, Hatem A.; Chambon, Sylvie; Morin, Geraldine; Gurdjos, Pierre; Charvillat, Vincent
Published in: Eurographics Workshop on 3D Object Retrieval, 2017
DOI: 10.2312/3dor.20171062
Author(s): Takaharu Kato, Ikuko Shimizu, Tomas Pajdla
Published in: IPSJ Transactions on Computer Vision and Applications, Issue 9/1, 2017, ISSN 1882-6695
DOI: 10.1186/s41074-017-0021-8
Author(s): Joe Kileel, Zuzana Kukelova, Tomas Pajdla, Bernd Sturmfels
Published in: Foundations of Computational Mathematics, 2017, ISSN 1615-3375
DOI: 10.1007/s10208-017-9361-0
Author(s): Akihiko Torii, Relja Arandjelovic, Josef Sivic, Masatoshi Okutomi, Tomas Pajdla
Published in: IEEE Transactions on Pattern Analysis and Machine Intelligence, Issue 40/2, 2018, Page(s) 257-271, ISSN 0162-8828
DOI: 10.1109/TPAMI.2017.2667665
