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Green Image
Issue No. 12 - Dec. (2011 vol. 17)
ISSN: 1077-2626
pp: 2135-2143
Marco Agus , CRS4, Italy
M. Gopi , University of California, Irvine, USA
Fabio Marton , CRS4, Italy
Enrico Gobbetti , CRS4, Italy
Christoph P.E. Zollikofer , University of Zurich, Switzerland
Renato Pajarola , University of Zurich, Switzerland
Andreas Elsener , University of Zurich, Switzerland
Susanne K. Suter , University of Zurich, Switzerland
ABSTRACT
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.
INDEX TERMS
GPU/CUDA, multiscale, tensor reconstruction, interactive volume visualization, multiresolution rendering.
CITATION
Marco Agus, José A. Iglesias Guitián, M. Gopi, Fabio Marton, Enrico Gobbetti, Christoph P.E. Zollikofer, Renato Pajarola, Andreas Elsener, Susanne K. Suter, "Interactive Multiscale Tensor Reconstruction for Multiresolution Volume Visualization", IEEE Transactions on Visualization & Computer Graphics, vol. 17, no. , pp. 2135-2143, Dec. 2011, doi:10.1109/TVCG.2011.214
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