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1 IBFV In the article Image Based Flow Visualization, ACM SIGGRAPH 2002, we present a new method for the visualization of two-dimensional fluid flow. Figure 1 shows an example. This image illustrates three features of the method: handling of unsteady flow, efficiency and ease of implementation. More specifically, these 512 × 512 images are snapshots from an(More)
Graphs depicted as node-link diagrams are widely used to show relationships between entities. However, node-link diagrams comprised of a large number of nodes and edges often suffer from visual clutter. The use of edge bundling remedies this and reveals high-level edge patterns. Previous methods require the graph to contain a hierarchy for this, or they(More)
(a) (b) (c) (d) Figure 1: (a)Cluttered image showing the fibers in a healthy brain by seeding in the whole volume. The color coding shows main eigenvalue. (b)(c)(d) Clustering results. The color coding represents the clusters.(b) Hierarchical clustering with single-link and mean distance between fibers. (c) The same as (b) but with closest point distance(More)
An extension to the treemap method for the visualization of hierarchical information, such as directory structures and organization structures, is presented. The standard treemap method often gives thin, elongated rectangles. As a result, rectangles are difficult to compare and to select. A new method is presented to generate layouts in which the rectangles(More)
We present a hardware-accelerated method for visualizing 3D flow fields. The method is based on insertion, advection, and decay of dye. To this aim, we extend the texture-based IBFV technique presented in [van Wijk 2001] for 2D flow visualization in two main directions. First, we decompose the 3D flow visualization problem in a series of 2D instances of the(More)
Parallel coordinate plots (PCPs) are a well-known visualization technique for viewing multivariate data. In the past, various visual modifications to PCPs have been proposed to facilitate tasks such as correlation and cluster identification, to reduce visual clutter, and to increase their information throughput. Most modifications pertain to the use of(More)
A new method is presented to get insight into univariate time series data. The problem addressed here is how to identify patterns and trends on multiple time scales (days, weeks, seasons) simultaneously. The solution presented is to cluster similar daily data patterns, and to visualize the average patterns as graphs and the corresponding days on a calendar.(More)
A new method is presented for the visualization of hierarchical information, such as directory structures and organization structures. Cushion treemaps inherit the elegance of standard treemaps: compact, space-filling displays of hierarchical information, based on recursive subdivision of a rectangular image space. Intuitive shading is used to provide(More)