Special Section: Parallel Graphics and Visualization: Parallel reflective symmetry transformation for volume data

Authors:
Yuan Hong;Han-Wei Shen
Affiliations:
Computer Science Department, The Ohio State University, Columbus, OH, USA;The Ohio State University, Columbus, OH, USA
Venue:
Computers and Graphics
Year:
2008

Citing 15
Cited 1

Isosurfacing in span space with utmost efficiency (ISSUE)

Proceedings of the 7th conference on Visualization '96
3D Symmetry Detection Using The Extended Gaussian Image

IEEE Transactions on Pattern Analysis and Machine Intelligence
Isosurface extraction using particle systems

VIS '97 Proceedings of the 8th conference on Visualization '97
Parallel view-dependent isosurface extraction using multi-pass occlusion culling

PVG '01 Proceedings of the IEEE 2001 symposium on parallel and large-data visualization and graphics
A Hardware-Assisted Scalable Solution for Interactive Volume Rendering of Time-Varying Data

IEEE Transactions on Visualization and Computer Graphics
Parallel Volume Rendering Using Binary-Swap Compositing

IEEE Computer Graphics and Applications
Symmetry Identification of a 3-D Object Represented by Octree

IEEE Transactions on Pattern Analysis and Machine Intelligence
Symmetry as a Continuous Feature

IEEE Transactions on Pattern Analysis and Machine Intelligence
The parallelized perspective shear-warp algorithm for volume rendering

Parallel Computing - Parallel graphics and visualisation
An Efficient Wavelet-Based Compression Method for Volume Rendering

PG '99 Proceedings of the 7th Pacific Conference on Computer Graphics and Applications
Massively parallel isosurface extraction

VIS '92 Proceedings of the 3rd conference on Visualization '92
A Reflective Symmetry Descriptor for 3D Models

Algorithmica
Visibility Culling Using Plenoptic Opacity Functions for Large Volume Visualization

Proceedings of the 14th IEEE Visualization 2003 (VIS'03)
A planar-reflective symmetry transform for 3D shapes

ACM SIGGRAPH 2006 Papers
On Symmetry Detection

IEEE Transactions on Computers

Scalar field visualization via extraction of symmetric structures

The Visual Computer: International Journal of Computer Graphics

Quantified Score

Hi-index	0.01

Visualization

Abstract

Many volume data possess symmetric features that can be clearly observed, for example, those existing in diffusion tensor images. The exploitations of symmetries for volume datasets, however, are relatively limited due to the prohibitive computational cost of detecting the symmetries. In this paper we present an efficient parallel algorithm for symmetry computation in volume data represented by regular grids. Optimization is achieved by converting the raw data into a hierarchical tree-like structure. We use a novel algorithm to partition the tree and distribute the data among processors to minimize the data dependency at run time. The computed symmetries are useful for several volume visualization applications, including optimal view selection and slice position exploration.