Over the years, CRS4 has developed a wide variety of methods capable of rendering potentially unlimited volumetric models on modern GPU platforms. These visual computing methods have found application in different fields, from medicine to science and engineering.
After introducing in 2008 the first adaptive method capable of interactively displaying static volumes of potentially unlimited dimensions, the work continued by introducing various state-of-the-art compression methods (2012) and techniques for the visualization of time-variant data (2019-2020).
In particular, the following work introduced the first single-pass technique working on out-of-core data on a GPU:
- Enrico Gobbetti, Fabio Marton, and José Antonio Iglesias Guitián. A single-pass GPU ray casting framework for interactive out-of-core rendering of massive volumetric datasets. The Visual Computer, 24(7-9): 797-806, 2008.
The following two works were the first to introduce advanced codecs based on tensor decomposition and sparse coding:
- Susanne K. Suter, José Antonio Iglesias Guitián, Fabio Marton, Marco Agus, Andreas Elsener, Christoph P.E. Zollikofer, M. Gopi, Enrico Gobbetti, and Renato Pajarola. Interactive Multiscale Tensor Reconstruction for Multiresolution Volume Visualization. IEEE Transactions on Visualization and Computer Graphics, 2011. Proc. IEEE Visualization.
- Enrico Gobbetti, José Antonio Iglesias Guitián, and Fabio Marton. COVRA: A compression-domain output-sensitive volume rendering architecture based on a sparse representation of voxel blocks. Computer Graphics Forum, 31(3pt4): 1315-1324, 2012. https://doi.org/10.1111/j.1467-8659.2012.03124.x.
