A major implementation of visualization algorithms on very-large unstructured scientific data sets is the suitable internal representation of the data. Not only must we represent the data elements themselves, but we must also represent the connectivity or topological relationships between the data. We present three data structures for unstructured meshes that are designed to fully represent the topological connectivity in the mesh, but also minimize the data storage requirements in representing the mesh. The key idea is to represent the topology of the mesh by the use of a single data item-the lath-which can be used to encapsulate the topological within the mesh. We present and analyze algorithms that query the spatial relations and pro...
Unstructured data are collections of points with irregular topology, often represented through simpl...
We present a new method for constructing multiresolution representations of data sets that contain m...
The paper deals with the problem of analyzing and visualizing large-size volume data sets. To this a...
Multiresolution meshes enable us to build representations of geometric objects at different Levels o...
We address the problem of representing and processing 3D objects, described through simplicial meshe...
In this paper, we address the problem of the efficient visualization of large irregular volume data ...
The analysis of large unstructured or meshfree data is challenging due to their sheer size and unorg...
We present a simple yet general and efficient approach to representation of computational meshes. Me...
Multiresolution models support the interactive visualization of large volumetric data through select...
We present a new method for constructing multiresolution representations of data sets that contain m...
The efficient construction of simplified models is a central problem in the field of visualization. ...
1 Motivation Current multiresolution and topology-preserving representations of the topology of tri...
Summary. We present a data structure which is able to represent heterogeneous 3-dimensional polytopa...
International audienceThis work is part of a PhD thesis about polyhedral mesh generation for simulat...
This dissertation investigates multi-resolution and multi-dimensional geometric techniques oriented ...
Unstructured data are collections of points with irregular topology, often represented through simpl...
We present a new method for constructing multiresolution representations of data sets that contain m...
The paper deals with the problem of analyzing and visualizing large-size volume data sets. To this a...
Multiresolution meshes enable us to build representations of geometric objects at different Levels o...
We address the problem of representing and processing 3D objects, described through simplicial meshe...
In this paper, we address the problem of the efficient visualization of large irregular volume data ...
The analysis of large unstructured or meshfree data is challenging due to their sheer size and unorg...
We present a simple yet general and efficient approach to representation of computational meshes. Me...
Multiresolution models support the interactive visualization of large volumetric data through select...
We present a new method for constructing multiresolution representations of data sets that contain m...
The efficient construction of simplified models is a central problem in the field of visualization. ...
1 Motivation Current multiresolution and topology-preserving representations of the topology of tri...
Summary. We present a data structure which is able to represent heterogeneous 3-dimensional polytopa...
International audienceThis work is part of a PhD thesis about polyhedral mesh generation for simulat...
This dissertation investigates multi-resolution and multi-dimensional geometric techniques oriented ...
Unstructured data are collections of points with irregular topology, often represented through simpl...
We present a new method for constructing multiresolution representations of data sets that contain m...
The paper deals with the problem of analyzing and visualizing large-size volume data sets. To this a...