Spot noise texture synthesis for data visualization
Proceedings of the 18th annual conference on Computer graphics and interactive techniques
Designing object-oriented software
Designing object-oriented software
Imaging vector fields using line integral convolution
SIGGRAPH '93 Proceedings of the 20th annual conference on Computer graphics and interactive techniques
Evaluating stereo and motion cues for visualizing information nets in three dimensions
ACM Transactions on Graphics (TOG)
VVS '89 Proceedings of the 1989 Chapel Hill workshop on Volume visualization
Interactive 3D flow visualization using a streamrunner
CHI '02 Extended Abstracts on Human Factors in Computing Systems
Image based flow visualization
Proceedings of the 29th annual conference on Computer graphics and interactive techniques
Elementary Numerical Analysis: An Algorithmic Approach
Elementary Numerical Analysis: An Algorithmic Approach
UML Distilled: A Brief Guide to the Standard Object Modeling Language
UML Distilled: A Brief Guide to the Standard Object Modeling Language
ISA and IBFVS: Image Space-Based Visualization of Flow on Surfaces
IEEE Transactions on Visualization and Computer Graphics
Investigating Swirl and Tumble Flow with a Comparison of Visualization Techniques
VIS '04 Proceedings of the conference on Visualization '04
Image Space Based Visualization of Unsteady Flow on Surfaces
Proceedings of the 14th IEEE Visualization 2003 (VIS'03)
Environmental Modelling & Software
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Usually, research related software consists of individual, isolated prototypes because researchers are interested in a small proof-of-concept application for demonstration. Here we present software developed for research purposes, but which has been included into a larger, commercial visualization system. We describe the design and implementation of a flow visualization subsystem within the framework of a software package capable of modeling, simulation, and visualization of CFD simulation data. Our flow visualization subsystem provides several research related geometric and texture-based visualization techniques. As a result, we are able to combine visualization options in new ways that typical research prototypes cannot. Here we describe some of our design and implementation decisions and outline the resulting advantages and disadvantages.