Interactive Ray Tracing of Time Varying Data

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When calculating the error for two arbitrary time steps, we traverse the tree from one node to the other, starting at the leaf-node representing the smaller time step, and

In addition to the overall size of the data set, what makes large time-varying data visualization hard is the need to constantly transfer each time step of the data from disk to

The new visualization technique for time-varying multi- channel EEG data, referred to as tiled parallel coordinates, is based on the parallel coordinate method and additionally

The direct rendering of the time-varying interval volumes makes it possible to get the distribution and relationship of the interval volumes across time steps, and help us

In this paper we studied the tempo- ral coherence of sequential times and histogram and spatial distribution of data in time-varying data sets and proposed a new data structure

The analytic TVBRDF models enable us to apply effects such as paint drying and dust accumulation to arbitrary surfaces and novel

Figure 10: Since the turbulent jet data set is statistically static, we can define a single 1D transfer function to clas- sify the entire time series.. We present results from