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  Exploration and comparison of trajectory data

Waschke, J., & Hlawitschka, M. (2017). Exploration and comparison of trajectory data. Poster presented at IEEE Vis 2017, Phoenix, AZ, USA.

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 Creators:
Waschke, Johannes1, Author              
Hlawitschka, Mario2, Author
Affiliations:
1International Max Planck Research School on Neuroscience of Communication: Function, Structure, and Plasticity, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_2616696              
2Leipzig University of Applied Sciences, Faculty of Computer Science and Media, ou_persistent22              

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 Abstract: Full rendering of a high number of trajectories (e.g. streamline tractograms of DTI images, or traffic routes) leads to heavy occlusion and superimposition, which reduces the perception of the main characteristics of the data. Evaluation and exploration can therefore be a challenge for the user. These difficulties of understanding are exacerbated when two datasets, like data from different time points, should be compared. We present a method to facilitate the navigation through trajectory sets and enable comparison of two datasets in one image. We minimize occlusion by bundling the trajectories, resulting in a skeleton-like representation, and allow the user to interactively explore regions of interest in detail.

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 Dates: 2017-10-01
 Publication Status: Not specified
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Title: IEEE Vis 2017
Place of Event: Phoenix, AZ, USA
Start-/End Date: 2017-10-01 - 2017-10-07

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