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.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
- engineering and technology mechanical engineering manufacturing engineering subtractive manufacturing
- natural sciences computer and information sciences
- natural sciences mathematics pure mathematics geometry
- social sciences psychology cognitive psychology
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Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
ERC-2010-StG_20091028
See other projects for this call
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Host institution
10623 Berlin
Germany
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.