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Shape spaces for geometry analysis and modeling

English title Shape spaces for geometry analysis and modeling
Applicant Gross Markus
Number 117772
Funding scheme Project funding (Div. I-III)
Research institution Laboratoire d'informatique graphique et géométrique EPFL - IC - ISIM - LGG
Institution of higher education ETH Zurich - ETHZ
Main discipline Information Technology
Start/End 01.09.2008 - 31.08.2010
Approved amount 84'325.00
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Keywords (7)

shape analysis; shape space; 3D model repositories; morphing; geometric modeling; shape correspondence; digital geometry processing

Lay Summary (English)

Lead
Lay summary
Large-scale digital repositories of 3D shapes are emerging in many areas, including virtual reality, industrial design, reverse engineering, archeology, and medical applications. The concept of shape space is a fundamental tool for defining a meaningful structure for these data repositories. Shape spaces support data categorization and classification, shape blending and extrapolation, example-based modeling and design, as well as various statistical analysis operations. The objective of this project is to formulate a novel theoretical framework and practical algorithms for shape analysis and geometric modeling, with a focus on a generalization of the concept of shape space. In particular, shapes spaces that can be constructed from example shapes acquired with 3D scanning devices will be investigated. The proposed framework will be based on a generalized notion of shape correspondence and require the development of new optimization algorithms for the creation, analysis, and synthesis of shape spaces. Besides theoretical considerations, the project has a strong focus on applications that will be investigated in cooperation with industry partners.
Direct link to Lay Summary Last update: 21.02.2013

Responsible applicant and co-applicants

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