XSHAPE

Expressive Shape: Intuitive Creative and Optimization of 3D Geometry

Coordinatore	TECHNISCHE UNIVERSITAT BERLIN    more Spiacenti, non ci sono informazioni su questo coordinatore. Contattare Fabio per maggiori infomrazioni, grazie.
Nazionalità Coordinatore	Germany [DE]
Totale costo	1˙348˙000 €
EC contributo	1˙348˙000 €
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	2010
Periodo (anno-mese-giorno)	2010-11-01   -   2015-10-31

 Partecipanti

#	participant	country	role	EC contrib. [€]
1	TECHNISCHE UNIVERSITAT BERLIN  Organization address address: STRASSE DES 17 JUNI 135 city: BERLIN postcode: 10623 contact info Titolo: Ms. Nome: Simone Cognome: Ludwig Email: send email Telefono: +49 30 314 21371 Fax: +49 30 314 21689	DE (BERLIN)	hostInstitution	1˙348˙000.00
2	TECHNISCHE UNIVERSITAT BERLIN  Organization address address: STRASSE DES 17 JUNI 135 city: BERLIN postcode: 10623 contact info Titolo: Prof. Nome: Marc Cognome: Alexa Email: send email Telefono: +49 30 314 73101	DE (BERLIN)	hostInstitution	1˙348˙000.00

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 Obiettivo del progetto (Objective)

'We propose radically new concepts for creating digital and real shapes with the help of computers, considering characteristics of human perception, cognition, and established workflows in art and design. Traditionally, real objects were created and optimized based directly on their visual impression. With the introduction of CAD/CAM, this immediate feedback has been lost, replaced by an engineering pipeline that capitalizes on mathematical representations and accurate machining. We believe to have identified the fundamental problems in this process, and propose research that leads to tools that support creation of shapes by humans and for humans. The research is concerned with data structures and algorithms that support the optimization of virtual and real shapes so that they possess and clearly convey desired features. This will lead to user interfaces for shape design based on features that humans understand and already use for communication. It will also lead to techniques that optimize the geometry of shapes so that the desired features stand out in likely viewing and illumination conditions. We will further extend the optimization to include the illumination, opening up an entirely new way to create the visual world around us. While the research is primarily concerned with geometry, it relies on results in perception, cognitive science, mathematics, and other disciplines, and by means of cross-pollination might lead to fruitful insights across the boundaries of computer science. The resulting tools will help making digital shapes a commodity, with effects on markets, industry, and society similar to what we have experienced for digital music or images.'