Volume Puzzle: visual analysis of segmented volume data with multivariate attributes

Marco Agus, Amal Aboulhassan, Khaled Al-Thelaya, Giovanni Pintore, Enrico Gobbetti, Corrado Cali, Jens Schneider
Proc. IEEE Visualization and Visual Analytics (VIS), page 130--134 - november 2022
Download the publication : visshort2022-volumepuzzle.pdf [10.1Mo]  
A variety of application domains, including material science, neuroscience, and connectomics, commonly use segmented volume data for explorative visual analysis. In many cases, segmented objects are characterized by multivariate attributes expressing specific geometric or physical features. Objects with similar characteristics, determined by selected attribute configurations, can create peculiar spatial patterns, whose detection and study is of fundamental importance. This task is notoriously difficult, especially when the number of attributes per segment is large. In this work, we propose an interactive framework that combines a state-of-the-art direct volume renderer for categorical volumes with techniques for the analysis of the attribute space and for the automatic creation of 2D transfer function. We show, in particular, how dimensionality reduction, kernel-density estimation, and topological techniques such as Morse analysis combined with scatter and density plots allow the efficient design of two-dimensional color maps that highlight spatial patterns. The capabilities of our framework are demonstrated on synthetic and real-world data from several domains.

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BibTex references

  author       = {Agus, M. and Aboulhassan, A. and Al-Thelaya, K. and Pintore, G. and Gobbetti, E. and Cali, C. and Schneider, J.},
  title        = {Volume Puzzle: visual analysis of segmented volume data with multivariate attributes},
  booktitle    = {Proc. IEEE Visualization and Visual Analytics (VIS)},
  pages        = {130--134},
  month        = {november},
  year         = {2022},
  keywords     = {Segmented Volumes, Multivariate data, Color mapping, Dimensionality reduction},
  doi          = {10.1109/VIS54862.2022.00035},
  url          = {},

Other publications in the database

» Marco Agus
» Khaled Al-Thelaya
» Giovanni Pintore
» Enrico Gobbetti
» Corrado Cali
» Jens Schneider