PRESIOUS

PREdictive digitization, reStoration and degradatIOn assessment of cultUral heritage objectS

 Coordinatore NORGES TEKNISK-NATURVITENSKAPELIGE UNIVERSITET NTNU 

 Organization address city: Trondheim
postcode: NO-7491

contact info
Titolo: Mrs.
Nome: Catalina
Cognome: Hellesø
Email: send email
Telefono: +47 73591452

 Nazionalità Coordinatore Norway [NO]
 Totale costo 3˙597˙408 €
 EC contributo 2˙728˙430 €
 Programma FP7-ICT
Specific Programme "Cooperation": Information and communication technologies
 Code Call FP7-ICT-2011-9
 Funding Scheme CP
 Anno di inizio 2013
 Periodo (anno-mese-giorno) 2013-02-01   -   2016-01-31

 Partecipanti

# participant  country  role  EC contrib. [€] 
1    NORGES TEKNISK-NATURVITENSKAPELIGE UNIVERSITET NTNU

 Organization address city: Trondheim
postcode: NO-7491

contact info
Titolo: Mrs.
Nome: Catalina
Cognome: Hellesø
Email: send email
Telefono: +47 73591452

NO (Trondheim) coordinator 0.00
2    ATHENA RESEARCH AND INNOVATION CENTER IN INFORMATION COMMUNICATION & KNOWLEDGE TECHNOLOGIES

 Organization address address: ARTEMIDOS 6 KAI EPIDAVROU
city: MAROUSSI
postcode: 151 25

contact info
Titolo: Mrs.
Nome: Yanna
Cognome: Volti
Email: send email
Telefono: +30210 6875300
Fax: +30210 6854270

EL (MAROUSSI) participant 0.00
3    ATHENS UNIVERSITY OF ECONOMICS AND BUSINESS - RESEARCH CENTER

 Organization address address: KEFALLINIAS STREET
city: ATHENS
postcode: 11251

contact info
Titolo: Ms.
Nome: Mary
Cognome: Marinopoulou
Email: send email
Telefono: +30 210 8665363
Fax: +30 210 8676265

EL (ATHENS) participant 0.00
4    BREUCKMANN GMBH

 Organization address address: Torenstrasse
city: Meersburg
postcode: 88709

contact info
Titolo: Dr.
Nome: Peter
Cognome: Muenstermann
Email: send email
Telefono: +497532 434624
Fax: +497532 434650

DE (Meersburg) participant 0.00
5    UNIVERSITAT KONSTANZ

 Organization address address: UNIVERSITATSSTRASSE
city: KONSTANZ
postcode: 78457

contact info
Titolo: Mrs.
Nome: Claudia
Cognome: Knüppel
Email: send email
Telefono: +49 7531882335
Fax: +49 7531883727

DE (KONSTANZ) participant 0.00

Mappa


 Word cloud

Esplora la "nuvola delle parole (Word Cloud) per avere un'idea di massima del progetto.

models    breakthrough    prediction    predictive    completion    geometric    surface    auto    object    reconstruction    ch    monument    objects    degradation   

 Obiettivo del progetto (Objective)

Europe must proactively exploit markets in which it has strategic advantages in order to develop products that will make it a leading player. One such area is Cultural Heritage (CH). Having studied the needs of CH for a number of years, the project team is now in a position to propose breakthrough ICT solutions to the identified challenges: a) the difficulty and inefficiency of the 3D digitisation process, b) the quantification of stone monument degradation, and c) the reconstruction of objects from large numbers of constituent fragments that may be worn, immovable, dispersed or incomplete.nnUsing a common core of geometric processing, analysis and retrieval methods, PRESIOUS aims at predictive geometric augmentation technology with the following scientific objectives:na) On-the-fly auto-completion for 3D digitization that exploits similar template models to allow gradual shape prediction from partially digitized objects. Such a breakthrough system opens a whole new range of possibilities for decreased acquisition times and simplified procedures, leading to an order of magnitude reduction in effort and cost. This technology is a prime candidate for exploitation by our industrial partner.nb) Estimation and prediction of monument degradation. The project will investigate models for forward and inverse erosion prediction based on targeted high-accuracy surface scans, allowing one to essentially move the artefact's surface condition 'back and forth in time' and visualize and measure the dynamic state of the deteriorating object. This tool is also likely to be applicable in areas outside CH, such as civil engineering.nc) 3D CH object repair. Automated, predictive reconstruction from fragmented CH objects that goes beyond reassembly by proposing the synthesis of missing parts using geometry auto-completion. This will aid the physical and virtual restoration process.

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