Opendata, web and dolomites


Previz for On-set Production - Adaptive Realtime Tracking

Total Cost €


EC-Contrib. €






Project "POPART" 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˙300˙382 €
 EC max contribution 999˙934 € (77%)
 Programme 1. H2020-EU. (Content technologies and information management: ICT for digital content, cultural and creative industries)
 Code Call H2020-ICT-2014-1
 Funding Scheme IA
 Starting year 2015
 Duration (year-month-day) from 2015-01-01   to  2016-06-30


Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    SIMULA RESEARCH LABORATORY AS NO (FORNEBU) coordinator 344˙670.00
2    LABO MIXED REALITIES AS NO (Grimstad) participant 219˙135.00
3    MIKROS IMAGE FR (PARIS) participant 209˙948.00
5    BAND PRO MUNICH GMBH DE (Dornach b. München) participant 28˙131.00
6    MIKROS - IMAGE FR (LEVALLOIS PERRET) participant 0.00


 Project objective

European film makers are well-known for their creative innovation in selecting themes, their original way of storytelling and their art of cinematography. Like elsewhere in the world, they use computer-generated visual effects to achieve the intended visual experience and quality.

To achieve the best interaction between the creative team on set and the post-production team, it is important to achieve the best common understanding between the team filming real scenes and the team working on visual effects. For this, previz has been developed. Previz today contributes to film making from the planning stage to filming with actors on set, where the final composition of mixed reality scenes can be reviewed during and right after the shoot.

Large film studios that produce films with the highest budgets take the final step and integrate previz with the final post-production. For this, they develop in-house tools or cooperate with a company that is dedicated to the previz concept. This integration remains unavailable to most film makers and provides a strong competitive advantage. Without the integration, a gap remains between the team filming real scenes and the team working on visual effects in post-production.

POPART will introduce an affordable and highly customizable solution that will disrupt the market and overcome this lack of competition. It will democratize the access to a complete previz solution integrated into the pipeline from shooting preparation to post-production, that doesn’t exist on the market. In contrast to the market lock-in solutions, all core elements required for real-time previz will be released in open source and will be based on open standards to provide an highly customizable solution.

The product released by POPART will comprise hard- and software components. It will be available at an affordable price, help improve the processes for creative teams in Europe directly, and will stimulate research by providing core libraries in open source.


List of deliverables.
API Definition Documents, reports 2019-07-23 10:38:58
Deliver product Other 2019-07-23 10:38:57
QMR 1&2 Documents, reports 2019-07-23 10:38:57
3D Visual Database update library Other 2019-07-23 10:38:58
Tool documentation Documents, reports 2019-07-23 10:38:57
Report and open source software for reconstruction methods Documents, reports 2019-07-23 10:38:58
Report on adoption Documents, reports 2019-07-23 10:38:58
Final DB Management library Other 2019-07-23 10:38:58
Initial 3D Visual Database library Other 2019-07-23 10:38:58
Deliver dataset Other 2019-07-23 10:38:57
QMR 3&4 Documents, reports 2019-07-23 10:38:58
Software for basic frame query Other 2019-07-23 10:38:58
Data management plan Documents, reports 2019-07-23 10:38:58
Product and integration report Documents, reports 2019-07-23 10:38:57
QMR 5 and final report Documents, reports 2019-07-23 10:38:58
Artificial feature detector library Other 2019-07-23 10:38:58
Camera tracking library Other 2019-07-23 10:38:58
Shoot preparation tool Other 2019-07-23 10:38:57

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


year authors and title journal last update
List of publications.
2016 Lilian Calvet, Pierre Gurdjos, Carsten Griwodz, and Simone Gasparini
Detection and Accurate Localization of Circular Fiducials under Highly Challenging Conditions
published pages: , ISSN: , DOI:
2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2019-07-23

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The information about "POPART" are provided by the European Opendata Portal: CORDIS opendata.

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