Visualization and Querying of Scalar, Vector, and Tensor Field Data
Chandrajit Bajaj · 1997
Interactive visualization allows scientists and engineers to analyze massive data sets in new ways. They can prune useless data, identify important features, and see the science behind the data. We address computational tasks of image generation, dynamical visualization, and interactive manipulation and quantitative querying. The data sets comprise of scalar fields (volumetric histological scans of spinal cord injuries), vector fields (numerical simulation of turbulent flows) and tensor fields (Reynolds stresses produced by vortices in the flow). Image generation is the core of visualization. Dynamical visualization brings out time dependent features that are hard to recognize in static images. Interactive manipulation and querying allows users to focus and quantify key features in large data sets.