Explore the words cloud of the LADIO project. It provides you a very rough idea of what is the project "LADIO" about.
The following table provides information about the project.
SIMULA RESEARCH LABORATORY AS
|Coordinator Country||Norway [NO]|
|Total cost||1˙213˙753 €|
|EC max contribution||1˙051˙422 € (87%)|
1. H2020-EU.2.1.1. (INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies - Information and Communication Technologies (ICT))
|Duration (year-month-day)||from 2016-12-01 to 2018-08-31|
Take a look of project's partnership.
|1||SIMULA RESEARCH LABORATORY AS||NO (FORNEBU)||coordinator||396˙450.00|
|2||MIKROS IMAGE||FR (PARIS)||participant||257˙360.00|
|3||INSTITUT NATIONAL POLYTECHNIQUE DE TOULOUSE||FR (TOULOUSE CEDEX 4)||participant||171˙428.00|
|4||CESKE VYSOKE UCENI TECHNICKE V PRAZE||CZ (PRAHA)||participant||153˙500.00|
|5||QUINE AS||NO (OSLO)||participant||72˙683.00|
|6||LABO MIXED REALITIES AS||NO (Grimstad)||participant||0.00|
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.
|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|
|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 360Â° 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|
|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|
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|
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|
Joe Kileel, Zuzana Kukelova, Tomas Pajdla, Bernd Sturmfels
published pages: , ISSN: 1615-3375, DOI: 10.1007/s10208-017-9361-0
|Foundations of Computational Mathematics||2019-06-11|
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