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Contribution Details
| Type | Journal Article |
| Scope | Discipline-based scholarship |
| Title | Interactive multiscale tensor reconstruction for multiresolution volume visualization |
| Organization Unit | |
| Authors |
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| Item Subtype | Original Work |
| Refereed | Yes |
| Status | Published in final form |
| Language |
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| Journal Title | IEEE Transactions on Visualization and Computer Graphics |
| Publisher | IEEE |
| Geographical Reach | international |
| ISSN | 1077-2626 |
| Volume | 17 |
| Number | 12 |
| Page Range | 2135 - 2143 |
| Date | 2011 |
| Abstract Text | Large scale and structurally complex volume datasets from high-resolution 3D imaging devices or computational simulations pose a number of technical challenges for interactive visual analysis. In this paper, we present the first integration of a multiscale volume representation based on tensor approximation within a GPU-accelerated out-of-core multiresolution rendering framework. Specific contributions include (a) a hierarchical brick-tensor decomposition approach for pre-processing large volume data, (b) a GPU accelerated tensor reconstruction implementation exploiting CUDA capabilities, and (c) an effective tensor-specific quantization strategy for reducing data transfer bandwidth and out-of-core memory footprint. Our multiscale representation allows for the extraction, analysis and display of structural features at variable spatial scales, while adaptive level-of-detail rendering methods make it possible to interactively explore large datasets within a constrained memory footprint. The quality and performance of our prototype system is evaluated on large structurally complex datasets, including gigabyte-sized micro-tomographic volumes. |
| Digital Object Identifier | 10.1109/TVCG.2011.214 |
| Other Identification Number | merlin-id:4920 |
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