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Outline

Title
Abstract
Introduction
Vector Fields and Visualization Methods
Vector Field Data Set Generation
Visualization Methods
Experimental Details 4.1 Timing and Training
Participant Pool
Results and Discussion
Visualization Method
Analysis Details
Normalizing Visualization Methods
Data
Conclusions
References
All Topics
Computer Science
Computer Graphics

Comparing 2D vector field visualization methods: A user study

Profile image of Marcos SilvaMarcos Silva

2005, Visualization and Computer Graphics, IEEE Transactions on

Abstract

We present results from a user study that compared six visualization methods for two-dimensional vector data. Users performed three simple but representative tasks using visualizations from each method: 1) locating all critical points in an image, 2) identifying critical point types, and 3) advecting a particle. Visualization methods included two that used different spatial distributions of short arrow icons, two that used different distributions of integral curves, one that used wedges located to suggest flow lines, and line-integral ...

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Victoria Interrante

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Global, geometric, and feature-based techniques for vector field visualization
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Vector field visualization techniques are subdivided into three categories: global, geometric, and feature-based techniques. We describe each category, and we present some related work and an example in each category from our own recent research. Spot noise is a texture synthesis technique for global visualization of vector fields on 2D surfaces. Deformable surfaces is a generic technique for extraction and visualization of geometric objects (surfaces or volumes) in 3D data fields. Selective and iconic visualization is an approach that extracts important regions or structures from large data sets, calculates highlevel attributes, and visualizes the features using parameterized iconic objects. It is argued that for vector fields a range of visualization techniques are needed to fulfill the needs of the application.

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Flow Charts: Visualization of Vector Fields on Arbitrary Surfaces
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IEEE Transactions on Visualization and Computer Graphics, 2000

We introduce a novel flow visualization method called Flow Charts, which uses a texture atlas approach for the visualization of flows defined over curved surfaces. In this scheme, the surface and its associated flow are segmented into overlapping patches, which are then parameterized and packed in the texture domain. This scheme allows accurate particle advection across multiple charts in the texture domain, providing a flexible framework that supports various flow visualization techniques. The use of surface parameterization enables flow visualization techniques requiring the global view of the surface over long time spans, such as Unsteady Flow LIC (UFLIC), particle-based Unsteady Flow Advection Convolution (UFAC), or dye advection. It also prevents visual artifacts normally associated with view-dependent methods. Represented as textures, Flow Charts can be naturally integrated into hardware accelerated flow visualization techniques for interactive performance.

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References (27)

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  27. David H. Laidlaw received the PhD degree in computer science from the California Institute of Technology, where he also did postdoctoral work in the Division of Biology. He is an associate professor in the Computer Science Department at Brown University. His research centers on applications of visualization, model- ing, computer graphics, and computer science to other scientific disciplines.

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Related topics

  • Algorithms
  • Computer Graphics
  • Data Display
  • Online Systems
  • User Study
  • Computer User Interface Design
  • Image Enhancement
  • Vector field visualization
  • Psychomotor Performance
  • vector data
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