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Intelligent Shape Modeling

Objective

Digital 3D content creation and modeling has become an indispensable part of our technology-driven society. Any modern design and manufacturing process involves manipulation of digital 3D shapes. Many industries have been long expecting ubiquitous 3D as the next revolution in multimedia. Yet, contrary to “traditional” media such as digital music and video, 3D content creation and editing is not accessible to the general public, and 3D geometric data is not nearly as wide-spread as it has been anticipated. Despite extensive geometric modeling research in the past two decades, 3D modeling is still a restricted domain and demands tedious, time consuming and expensive work effort even from trained professionals, namely engineers, designers, and digital artists. Geometric modeling is reported to constitute one of the lowest-productivity components of product life cycle.

The major reason for 3D shape modeling remaining inaccessible and tedious is that our current geometry representation and modeling algorithms focus on low-level mathematical properties of the shapes, entirely missing structural, contextual or semantic information. As a consequence, current modeling systems are unintuitive, inefficient and difficult for humans to work with. We believe that instead of continuing on the current incremental research path, a concentrated effort is required to fundamentally rethink the shape modeling process and re-align research agendas, putting high-level shape structure and function at the core. We propose a research plan that will lead to intelligent digital 3D modeling tools that integrate semantic knowledge about the objects being modeled and provide the user an intuitive and logical response, fostering creativity and eliminating unnecessary low-level manual modeling tasks. Achieving these goals will represent a fundamental change to our current notion of 3D modeling, and will finally enable us to leverage the true potential of digital 3D content for society.

Field of science

  • /humanities/arts/modern and contemporary art/radio and television
  • /natural sciences/mathematics/pure mathematics/geometry

Call for proposal

ERC-2012-StG_20111012
See other projects for this call

Funding Scheme

ERC-SG - ERC Starting Grant

Host institution

EIDGENOESSISCHE TECHNISCHE HOCHSCHULE ZUERICH
Address
Raemistrasse 101
8092 Zuerich
Switzerland
Activity type
Higher or Secondary Education Establishments
EU contribution
€ 1 497 441,88
Principal investigator
Olga Sorkine (Prof.)
Administrative Contact
Olga Sorkine (Prof.)

Beneficiaries (1)

EIDGENOESSISCHE TECHNISCHE HOCHSCHULE ZUERICH
Switzerland
EU contribution
€ 1 497 441,88
Address
Raemistrasse 101
8092 Zuerich
Activity type
Higher or Secondary Education Establishments
Principal investigator
Olga Sorkine (Prof.)
Administrative Contact
Olga Sorkine (Prof.)