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Overview
The Nemesi project aims at enabling the interaction with complex datasets. In particular,
the application focuses on the representation of and the interaction with non-manifold models, which can
be interpreted as a collection of self-intersecting surfaces. An application handling such data is faced
with two important challenges: the models are geometrically and topologically very complex.
Researchers in the computer graphics community attacked the first problem by constructing advanced
multiresolution representations, thus enabling users to interact with very detailed surfaces.
Additionally, the construction of multiresolution editing tools enabled the construction of efficient
modeling frameworks.
However, we note that most of the research has been focused on two-manifold surfaces, thus neglecting
the topological information of the input data. Therefore, these operators can potentially change the
topology of the data which result in a loss of information. The Nemesi project attack
this second problem by explicitly modeling non-manifolds and by constructing a collection
of non-manifold operators. The main components of the framework comprise:
- A flexible representation
- A fairing framework
- A collection of multiresolution techniques
- A subdivision operator
- A feature extraction technique
Click on the thumbnail below to view a few datasets modeled in our framework.
This project is the result of a collaboration between the
Federal Institute of Technology (ETH) of Zurich, Switzerland and
Schlumberger ATC of Austin, USA .
Contact information:
Andreas Hubeli
IFW C27.1
Computer Graphics Group
Institute of Scientific Computing
Federal Institute of Technology (ETH)
CH - 8092 Zurich
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