Scalable Multivariate Volume Visualization and Analysis Based on Dimension Projection and Parallel Coordinates

—In this paper, we present an effective and scalable system for multivariate volume data visualization and analysis with a novel transfer function interface design that tightly couples parallel coordinates plots (PCP) and MDS-based dimension projection plots. In our system, the PCP visualizes the data distribution of each variate (dimension) and the MDS plots project features. They are integrated seamlessly to provide flexible feature classification without context switching between different data presentations during the user interaction. The proposed interface enables users to identify relevant correlation clusters and assign optical properties with lassos, magic wand and other tools. Furthermore, direct sketching on the volume rendered images has been implemented to probe and edit features. With our system, users can interactively analyze multivariate volumetric data sets by navigating and exploring feature spaces in unified PCP and MDS plots. To further support large scale mul...

• Type: Journal
• Year: 2012
• Where: TVCG
• Authors: Hanqi Guo, He Xiao, Xiaoru Yuan
• Keywords: Hardware, Parallel Coordinates, TVCG 2012, Visualization System, Volumetric Data Sets