Image based flow visualization

By Jack van Wijk. ACM Transactions on Graphics, 2002

364 citations recorded by the source corpus.

Subfields: Computational Mechanics, Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition

View Paper: https://www.semanticscholar.org/paper/6cbce689ac193bc11553940c77b15ea05549e0fc

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computational Mechanics

1. Shuicheng Yan
2. Helwig Hauser
3. Benjamin Vrolijk
4. Peter Wonka
5. Guoning Chen
6. Helmut Doleisch
7. Daniel Weiskopf
8. Frits H. Post

In Computer Graphics and Computer-Aided Design

1. Peter Wonka
2. Guoning Chen
3. Eugene Zhang
4. Gregory Esch
5. Shuicheng Yan
6. H. Schumann
7. Helwig Hauser
8. Christian Tominski

In Computer Vision and Pattern Recognition

1. Shuicheng Yan
2. Meng Wang
3. Yi Yang
4. Peter Wonka
5. Bingbing Ni
6. Richang Hong
7. Dacheng Tao
8. Luc Van Gool

Citations in the corpus

• The State of the Art in Flow Visualization: Dense and Texture‐Based Techniques (2004, methodology): “3D IBFV – IBFV has also been applied to the visualization of 3D flow 75 .”
• Visualizing time-oriented data - A systematic view (2007, background): “(a) animated flow visualization [36]: smooth animations created from streamline images; (b) feature and event based flow visualization [30]: animated visualization based on data abstraction and iconic representations; (c) ThemeRiver [7]: static representation of thematic changes in document collecti”
• Interactive procedural street modeling (2008, methodology): “The visualization of tensor fields shown in this paper is based on [van Wijk 2002; Zhang et al. 2007].”
• Crowded Scene Analysis: A Survey (2015, background): “Furthermore, the calibrated agent-based framework proposed in [41] could also accurately model a number of observed crowd phenomena.”