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Live Action Data Input and Output

Deliverables

File format implementations verified in LADIO prototypes

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

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

SfM integration for 360° cameras and camera rigs

LADIO Application importers and exporters

Implement LADIO Application importers and exporters

Implement SfM Multibody into openMVG

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

Technical mechanisms for Management

Documentation of the deployed technical mechanisms

Report on Pilot Production

Report on Pilot Production

Final report

Final project report

Quarterly management reports 1 and 2

Quarterly management reports 1 and 2

Quarterly management reports 3 and 4

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

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

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.

Searching for OpenAIRE data...

Publications

On the Two-View Geometry of Unsynchronized Cameras

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

Uncertainty Computation in Large 3D Reconstruction

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

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

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

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

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

Towards Recognizing of 3D Models Using A Single Image

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

Selecting image pairs for SfM by introducing Jaccard Similarity

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

Distortion Varieties

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

24/7 Place Recognition by View Synthesis

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