Live Action Data Input and Output

Informations projet

LADIO

N° de convention de subvention: 731970

DOI

10.3030/731970

Projet clôturé

Date de signature de la CE 10 Octobre 2016

Date de début 1 Decembre 2016

Date de fin 31 Août 2018

Financé au titre de

• INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies - Information and Communication Technologies (ICT)

Coût total

€ 1 213 753,63

Contribution de l’UE

€ 1 051 422,70

Coordonné par

SIMULA RESEARCH LABORATORY AS
Norway

CORDIS fournit des liens vers les livrables publics et les publications des projets HORIZON.

Les liens vers les livrables et les publications des projets du 7e PC, ainsi que les liens vers certains types de résultats spécifiques tels que les jeux de données et les logiciels, sont récupérés dynamiquement sur OpenAIRE .

Livrables

Other (15)

File format implementations verified in LADIO prototypes
Lens calibration from 3D Reconstruction

Implement lens calibration from 3D Reconstruction in openMVG

GPU optimised version of OpenCMPMVS

Implement GPU optimised version of OpenCMPMVS

CamBox and MiniBox

RT Acquisition - Implementation of the CamBox and MiniBox

Improve SfM accuracy and precision
SetBox

SetBox - Implementation of the SetBox

File formats release implementations as open source

Release implementations as open source

SfM LiDAR integration

SfM: LiDAR integration

SfM integration for 360° cameras and camera rigs
LADIO Application importers and exporters

Implement LADIO Application importers and exporters

Implement SfM Multibody into openMVG
Backend Timeline Module

Implement Backend Timeline Module

OpenCMPMVS

Implement OpenCMPMVS

Advanced OpenCMPMVS - Multibody and LiDAR

Implement advanced OpenCMPMVS - Multibody and LiDAR

Distributed Network

Implementation of the Distributed Data Management system

Documents, reports (9)

Technical mechanisms for Management

Documentation of the deployed technical mechanisms

Report on Pilot Production
Final report

Final project report

Quarterly management reports 1 and 2
Quarterly management reports 3 and 4
3D Reconstruction benchmarks with dataset

Deliver 3D Reconstruction benchmarks with dataset

Model & API definition

Documentation of extensions for EBU CCDN, EBUCore and newly defined REST API

Quarterly management reports 5 and 6
File and database formats for data storage

List of file formats to use unchanged and recommendation for filling gaps

Open Research Data Pilot (1)

Data Management Plan

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.

Publications

Conference proceedings (5)

On the Two-View Geometry of Unsynchronized Cameras

Auteurs: Cenek Albl, Zuzana Kukelova, Andrew Fitzgibbon, Jan Heller, Matej Smid, Tomas Pajdla
Publié dans: 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017, Page(s) 5593-5602, ISBN 978-1-5386-0457-1
Éditeur: IEEE
DOI: 10.1109/CVPR.2017.593

Uncertainty Computation in Large 3D Reconstruction

Auteurs: Michal Polic, Tomas Pajdla
Publié dans: Scandinavian Conference on Image Analysis, 2017, Page(s) 110-121, ISBN 978-3-319-59126-1
Éditeur: Springer International Publishing
DOI: 10.1007/978-3-319-59126-1_10

Towards multi-scale feature detection repeatable over intensity and depth images

Auteurs: Hatem A. Rashwan, Sylvie Chambon, Pierre Gurdjos, Geraldine Morin, Vincent Charvillat
Publié dans: 2016 IEEE International Conference on Image Processing (ICIP), 2016, Page(s) 36-40, ISBN 978-1-4673-9961-6
Éditeur: IEEE
DOI: 10.1109/ICIP.2016.7532314

Are Large-Scale 3D Models Really Necessary for Accurate Visual Localization?

Auteurs: Torsten Sattler, Akihiko Torii, Josef Sivic, Marc Pollefeys, Hajime Taira, Masatoshi Okutomi, Tomas Pajdla
Publié dans: 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017, Page(s) 6175-6184, ISBN 978-1-5386-0457-1
Éditeur: IEEE
DOI: 10.1109/CVPR.2017.654

Towards Recognizing of 3D Models Using A Single Image

Auteurs: Rashwan, Hatem A.; Chambon, Sylvie; Morin, Geraldine; Gurdjos, Pierre; Charvillat, Vincent
Publié dans: Eurographics Workshop on 3D Object Retrieval, 2017, ISBN 978-3-03868-030-7
Éditeur: The Eurographics Association
DOI: 10.2312/3dor.20171062

Peer reviewed articles (3)

Selecting image pairs for SfM by introducing Jaccard Similarity

Auteurs: Takaharu Kato, Ikuko Shimizu, Tomas Pajdla
Publié dans: IPSJ Transactions on Computer Vision and Applications, Numéro 9/1, 2017, ISSN 1882-6695
Éditeur: Information Processing Society of Japan
DOI: 10.1186/s41074-017-0021-8

Distortion Varieties

Auteurs: Joe Kileel, Zuzana Kukelova, Tomas Pajdla, Bernd Sturmfels
Publié dans: Foundations of Computational Mathematics, 2017, ISSN 1615-3375
Éditeur: Springer Verlag
DOI: 10.1007/s10208-017-9361-0

24/7 Place Recognition by View Synthesis

Auteurs: Akihiko Torii, Relja Arandjelovic, Josef Sivic, Masatoshi Okutomi, Tomas Pajdla
Publié dans: IEEE Transactions on Pattern Analysis and Machine Intelligence, Numéro 40/2, 2018, Page(s) 257-271, ISSN 0162-8828
Éditeur: Institute of Electrical and Electronics Engineers
DOI: 10.1109/TPAMI.2017.2667665