Fast volume rendering using a shear-warp factorization of the viewing transformation
SIGGRAPH '94 Proceedings of the 21st annual conference on Computer graphics and interactive techniques
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
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
IEEE Transactions on Computers
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Many volume data possess symmetric features that can be clearly observed, for example, those existed in diffusion tensor image data sets. The exploitations of symmetries for volume data sets, 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 design 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 data applications, including POF minimal opacity selection, transfer function generation and slice position selection.