IRON

Robust Geometry Processing

Coordinatore	INSTITUT NATIONAL DE RECHERCHE EN INFORMATIQUE ET EN AUTOMATIQUE    more Spiacenti, non ci sono informazioni su questo coordinatore. Contattare Fabio per maggiori infomrazioni, grazie.
Nazionalità Coordinatore	France [FR]
Totale costo	1˙370˙198 €
EC contributo	1˙370˙198 €
Programma	FP7-IDEAS-ERC Specific programme: "Ideas" implementing the Seventh Framework Programme of the European Community for research, technological development and demonstration activities (2007 to 2013)
Code Call	ERC-2010-StG_20091028
Funding Scheme	ERC-SG
Anno di inizio	2011
Periodo (anno-mese-giorno)	2011-01-01   -   2015-12-31

 Partecipanti

#	participant	country	role	EC contrib. [€]
1	INSTITUT NATIONAL DE RECHERCHE EN INFORMATIQUE ET EN AUTOMATIQUE  Organization address address: Domaine de Voluceau, Rocquencourt city: LE CHESNAY Cedex postcode: 78153 contact info Titolo: Dr. Nome: Pierre Cognome: Alliez Email: send email Telefono: +33 4 92387677 Fax: +33 4 97155395	FR (LE CHESNAY Cedex)	hostInstitution	1˙370˙198.00
2	INSTITUT NATIONAL DE RECHERCHE EN INFORMATIQUE ET EN AUTOMATIQUE  Organization address address: Domaine de Voluceau, Rocquencourt city: LE CHESNAY Cedex postcode: 78153 contact info Titolo: Ms. Nome: Marie Cognome: Schiaffino Email: send email Telefono: +33 492 38 76 32 Fax: +33 492 38 79 55	FR (LE CHESNAY Cedex)	hostInstitution	1˙370˙198.00

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 Obiettivo del progetto (Objective)

'Digital Geometry Processing (DGP) started nearly ten years ago on the premise that geometry would soon become the fourth type of digital medium after sounds, images, and video. While recent research efforts have successfully established some theoretical and algorithmic foundations to deal with this very special signal that is geometry, DGP has not resulted in the expected societal and technological impacts that Digital Signal Processing has generated, mostly due to the lack of robustness and genericity of the geometry processing pipeline. We propose a research agenda to harness the full potential of Digital Geometry Processing and make it as robust and impactful as Digital Signal Processing. Specifically, we argue that streamlining the DGP pipeline cannot be achieved by direct adaptation of existing machinery: a new and focused research phase is required to address such fundamental issues as the reconstruction and approximation of complex shapes from heterogeneous data, in order to develop ironclad techniques that are robust to defect-laden inputs and offer strong guarantees on the outputs. Only then can DGP will be ready, as promised, to bring forth a technological revolution.'