Interactive Multiscale Tensor Reconstruction for Multiresolution Volume Visualization

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.

@Article{SIMAEZGGP11,
  author       = {Suter, S. and Iglesias Guitián, J. and Marton, F. and Agus, M. and Elsener, A. and Zollikofer, C. and Gopi, M. and Gobbetti, E. and Pajarola, R.},
  title        = {Interactive Multiscale Tensor Reconstruction for Multiresolution Volume Visualization},
  journal      = {IEEE Transactions on Visualization and Computer Graphics},
  year         = {2011},
  note         = {Proc. IEEE Visualization. To appear},
  keywords     = {volume rendering, compression, GPU rendering},
  url          = {https://publications.crs4.it/pubdocs/2011/SIMAEZGGP11},
}