We present a new method for constructing multiresolution representations of data sets that contain material interfaces. Material interfaces embedded in the meshes of computational data sets are often a source of error of simplification algorithms because they represent discontinuities in the scalar or vector field over mesh elements. By representing material interfaces explicitly, we are able to provide separate field representations for each material over a single cell. Multiresolution representations utilizing separate field representations can accurately approximate datasets that contain discontinuities without placing a large percentage of cells around the discontinuous regions. Our algorithm uses a multiresolution tetrahedral mesh ...
The Patterned Interface Reconstruction algorithm will signi!cantly improve the!delity of multiple ma...
A new material interface reconstruction method for volume fraction data is presented. Our method is ...
The paper deals with the problem of analyzing and visualizing large-size volume data sets. To this a...
We present a new method for constructing multiresolution representations of data sets that contain m...
We present a new method for simplifying large data sets that contain material interfaces. Material ...
This paper presents an algorithm for material interface reconstruction for data sets where fractiona...
Reconstructing boundaries along material interfaces from volume fractions is a difficult problem, es...
Due to the surface meshes produced at increasing complexity in many applications, interest in effici...
We present a new algorithm for material boundary interface reconstruction from data sets containing ...
We present a new algorithm for material boundary interface recon-struction from data sets containing...
Multiresolution meshes enable us to build representations of geometric objects at different Levels o...
Due to the surface meshes produced at increasing complexity in many applications, interest in effici...
The paper focuses on automatic simplification algorithms for the generation of a multiresolution f...
In this paper, we address the problem of the efficient visualization of large irregular volume data ...
Multiresolution models with different levels of detail are a basic tool for handling very large an...
The Patterned Interface Reconstruction algorithm will signi!cantly improve the!delity of multiple ma...
A new material interface reconstruction method for volume fraction data is presented. Our method is ...
The paper deals with the problem of analyzing and visualizing large-size volume data sets. To this a...
We present a new method for constructing multiresolution representations of data sets that contain m...
We present a new method for simplifying large data sets that contain material interfaces. Material ...
This paper presents an algorithm for material interface reconstruction for data sets where fractiona...
Reconstructing boundaries along material interfaces from volume fractions is a difficult problem, es...
Due to the surface meshes produced at increasing complexity in many applications, interest in effici...
We present a new algorithm for material boundary interface reconstruction from data sets containing ...
We present a new algorithm for material boundary interface recon-struction from data sets containing...
Multiresolution meshes enable us to build representations of geometric objects at different Levels o...
Due to the surface meshes produced at increasing complexity in many applications, interest in effici...
The paper focuses on automatic simplification algorithms for the generation of a multiresolution f...
In this paper, we address the problem of the efficient visualization of large irregular volume data ...
Multiresolution models with different levels of detail are a basic tool for handling very large an...
The Patterned Interface Reconstruction algorithm will signi!cantly improve the!delity of multiple ma...
A new material interface reconstruction method for volume fraction data is presented. Our method is ...
The paper deals with the problem of analyzing and visualizing large-size volume data sets. To this a...