Multi-resolution Algorithms
Abstract
Interactive Level-of-Detail Selection Using Image-Based Quality Metric for Large Volume Visualization
accepted to IEEE Transactions on Visualization and Computer Graphics
Chaoli Wang, Antonio Garcia, and Han-Wei Shen
GPU-based 3D Wavelet Reconstruction with Tileboarding
Pacific Graphics 2005. Macau, China
Antonio Garcia and Han-Wei Shen, 2005
Hierarchical Navigation Interface: Leveraging Multiple Coordinated
Views for Level-of-Detail Multiresolution Volume Rendering of
Large Scientific Data Sets
In Proceedings of International Conference on Information Visualisation
London, England Chaoli Wang and Han-Wei Shen, July 2005
Parallel Multiresolution Volume Rendering
of Large Data Sets with Error-Guided Load Balancin
to appear in Eurographics Symposium on Parallel Graphics and
Visualization
Chaoli Wang, Jinzhu Gao, Han-Wei Shen, 2004
Time-Critical Multiresolution Volume Rendering
using 3D Texture Hardware
IEEE/ACM 2002 Symposium on Volume Visualization and Graphics
Boston, Massachusetts
Xinyue Li and Han-Wei ShenOctober 2002
Publication
To allow interactive visualization of very large data sets, one effective strategy is to create a multi-resolution representation of the original data and perform level of detail rendering based on the quality and speed requirements at run time. Toward this goal, the Gravite Research Group has developed several algorithms to enable multi-resolution visualization of large data sets. Our research focus includes time-critical volume rendering, user interface and error metrics for quality assesment, parallel multi-resolution volume rendering, GPU-based wavelet encoding and reconstruction, and multi-resolution spatio-temporal data management framework.
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The Ohio State University, Department of Computer Science and Engineering
395 Dreese Lab, 2015 Neil Avenue, Columbus OH 43210
Professor Han-Wei Shen
hwshen@cse.ohio-state.edu (V) 614 292 0060 (F) 614 2922911
