Opendata, web and dolomites


Live Action Data Input and Output

Total Cost €


EC-Contrib. €






 LADIO project word cloud

Explore the words cloud of the LADIO project. It provides you a very rough idea of what is the project "LADIO" about.

computer    track    cinematography    productions    ladio    monitor    deg    incrementally    color    balance    digital    action    integration    tested    interactions    realities    check    frequently    obvious    creative    shooting    teams    location    ways    metadata    changer    session    initiated    budgets    hardware    supporting    accurate    temporal    software    discipline    consistency    capturing    schedules    emerged    team    lidars    delicate    facilities    graphics    keeps    smes    dataflow    platform    collectively    streamlined    connectors    original    film    modern    soft    live    editing    affordable    visual    relies    rely    reconstruction    proposes    data    more    communication    api    heavily    decentralised    interacts    delivers    blending    quality    tight    practical    post    standards    vfx    off    limited    grading    locations    capture    cameras    spatial    source    crew    acquisition    extends    3d    centralizes    game    360    dense    recorded    world    transformation    tools    released    smooth    efficient   

Project "LADIO" data sheet

The following table provides information about the project.


Organization address
postcode: 1364

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Norway [NO]
 Project website
 Total cost 1˙213˙753 €
 EC max contribution 1˙051˙422 € (87%)
 Programme 1. H2020-EU.2.1.1. (INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies - Information and Communication Technologies (ICT))
 Code Call H2020-ICT-2016-1
 Funding Scheme IA
 Starting year 2016
 Duration (year-month-day) from 2016-12-01   to  2018-08-31


Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    SIMULA RESEARCH LABORATORY AS NO (FORNEBU) coordinator 396˙450.00
2    MIKROS IMAGE FR (PARIS) participant 257˙360.00
5    QUINE AS NO (OSLO) participant 72˙683.00
6    LABO MIXED REALITIES AS NO (Grimstad) participant 0.00


 Project objective

Modern film production relies heavily on digital acquisition and transformation. Blending real-world cinematography and computer graphics necessitates a tight integration between the shooting set and post-production. Today, editing and color grading are more and more frequently initiated directly on set to enable interactions between the shooting crew and the creative team. To facilitate communication between live-action production and digital post-production, a new discipline has emerged, collectively known as on-set data acquisition. There is also an obvious need for efficient tools to check consistency of the data recorded, especially since the number of supporting capture devices and the ways of exploiting them is growing quickly. For visual effects (VFX), one of the most important aspects is the acquisition of dense and accurate 3D data from real-world sets and locations. Capturing specific data on set for VFX is a delicate balance between the requirements of VFX facilities and the practical realities of tight shooting schedules and limited budgets. To smooth the collaboration between all teams on set, LADIO delivers a new platform that will be tested incrementally on real productions during the project. LADIO extends 3D acquisition of the set and centralizes management of all data recorded during the shooting session. It relies on soft- and hardware connectors to capture devices, including new affordable 360° cameras and LiDARs, and interacts with production tools both on set and off set. The LADIO application proposes an original approach to monitor all data, metadata and production information. It keeps track of the temporal and spatial location of all the data. LADIO’s decentralised data management and API rely on open standards, and its 3D reconstruction software will be released as open source. This is a game-changer for European SMEs who will achieve higher quality and more cost-effective VFX, based on a new streamlined production dataflow.


List of deliverables.
Improve SfM accuracy and precision Other 2019-05-31 10:36:03
File formats release implementations as open source Other 2019-05-31 10:36:36
Quarterly management reports 5 and 6 Documents, reports 2019-05-31 10:36:14
Lens calibration from 3D Reconstruction Other 2019-05-31 10:36:01
Model & API definition Documents, reports 2019-05-31 10:36:34
3D Reconstruction benchmarks with dataset Documents, reports 2019-05-31 10:36:12
OpenCMPMVS Other 2019-05-31 10:36:20
File and database formats for data storage Documents, reports 2019-05-31 10:36:31
GPU optimised version of OpenCMPMVS Other 2019-05-31 10:36:07
Report on Pilot Production Documents, reports 2019-05-31 10:36:19
Implement SfM Multibody into openMVG Other 2019-05-31 10:35:51
Advanced OpenCMPMVS - Multibody and LiDAR Other 2019-05-31 10:36:05
Quarterly management reports 1 and 2 Documents, reports 2019-05-31 10:36:22
CamBox and MiniBox Other 2019-05-31 10:36:20
LADIO Application importers and exporters Other 2019-05-31 10:36:03
SfM integration for 360° cameras and camera rigs Other 2019-05-31 10:36:35
SfM LiDAR integration Other 2019-05-31 10:36:32
Technical mechanisms for Management Documents, reports 2019-05-31 10:36:01
Data Management Plan Open Research Data Pilot 2019-05-31 10:36:31
Quarterly management reports 3 and 4 Documents, reports 2019-05-31 10:36:23
Distributed Network Other 2019-05-31 10:36:39
SetBox Other 2019-05-31 10:36:35
File format implementations verified in LADIO prototypes Other 2019-05-31 10:36:34
Final report Documents, reports 2019-05-31 10:36:32
Backend Timeline Module Other 2019-05-31 10:35:55

Take a look to the deliverables list in detail:  detailed list of LADIO deliverables.


year authors and title journal last update
List of publications.
2018 Akihiko Torii, Relja Arandjelovic, Josef Sivic, Masatoshi Okutomi, Tomas Pajdla
24/7 Place Recognition by View Synthesis
published pages: 257-271, ISSN: 0162-8828, DOI: 10.1109/TPAMI.2017.2667665
IEEE Transactions on Pattern Analysis and Machine Intelligence 40/2 2019-06-11
2017 Takaharu Kato, Ikuko Shimizu, Tomas Pajdla
Selecting image pairs for SfM by introducing Jaccard Similarity
published pages: , ISSN: 1882-6695, DOI: 10.1186/s41074-017-0021-8
IPSJ Transactions on Computer Vision and Applications 9/1 2019-06-11
2017 Joe Kileel, Zuzana Kukelova, Tomas Pajdla, Bernd Sturmfels
Distortion Varieties
published pages: , ISSN: 1615-3375, DOI: 10.1007/s10208-017-9361-0
Foundations of Computational Mathematics 2019-06-11

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