The TAn v.1 system supports multiresolution modeling and visualization of volumetric dataset adopting a representation based on tetrahedral decomposition.
TAn v.1 provides tools to:
TAn v.1 manages multiresolution via a compact
representation scheme which stores all of the intermediate steps of a progressive
refinements 3D triangolation process.
Dataset triangulation has to be operated only once, as a preprocessing phase. The results
of this incremental refinement process are saved on the file system (history file).
At run time, the data scheme provided in TAn allows the user to choose the degree of
precision; then TAn supports the extraction of a tessellated representations of the
dataset which satisfies the specified precision.
An executable of the TAn system has been released in public domain; the sw has been
compiled for SGI workstations
This research is carried out in cooperation with Prof. Leila De Floriani of
the University of Genova and Enrico
Puppo of IMA-CNR of Genova.
, Figs:Abstract
A system to represent and visualize scalar volume data at multiple
resolution is presented. The system is built on a multiresolution model based on
tetrahedral meshes with scattered vertices that can be obtained from any initial dataset.
The model is built off-line through data simplification techniques, and stored in a
compact data structure that supports fast on-line access. The system supports interactive
visualization of a representation at an arbitrary level of resolution through isosurface
and projective methods. The user can interactively adapt the quality of visualization to
requirements of a specific application task, and to the performance of a specific hardware
platform. Representations at different resolutions can be used together to enhance further
interaction and performance through progressive and multiresolution rendering.
Multiresolution Modeling and Rendering of Volume
Data based on Simplicial Complexes Abstract
P. Cignoni, L. De Floriani, C. Montani, E. Puppo, and R. Scopigno
1994 A.C.M. Symposium on Volume Visualization Conference Proceedings, Washington, Oct.
17-18, ACM Press, 1994, pp.19-26.
A scattered volumetric dataset is regarded as a sampled version of a
scalar field defined over a three-dimensional domain, whose graph is a hypersurface
embedded in a four-dimensional space. We propose a multiresolution model for the
representation and visualization of such dataset, based on a decomposition of the
three-dimensional domain into tetrahedra. Multiresolution is achieved through a sequence
of tetrahedralizations that approximate the scalar field at increasing precision. The
construction of the model is based on an adaptive incremental approach driven by the local
coherence of the scalar field.
The proposed model allows an efficient extraction of compact isosurfaces with adaptive
resolution levels as well as the development of progressive and multiresolution rendering
approaches. Experimental evaluations of the proposed approach on different scattered
datasets are reported.