Speaker: Peter Mindek (ICGA)

In this thesis, we review existing approaches for parameter-space visualization, exploration, and management. We focus on the applicability of these approaches to visualization algorithms. We propose several methods solving specific problems arising from the fact that the output of a visualization algorithm is an image, which is challenging to process automatically and often needs to be analyzed by a human. We propose a method for eploration and visualization of parameter spaces of arbitrary visualization algorithms implemented as GPU shaders. Subsequently, we propose method for managing parameters relevant to specific areas in the generated images and a method for integrating parameters of multiple users into a single visualization, in the environment of video games. Finally, we propose a method for intuitive interaction with graphical elements for setting parameters.

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Duration

45 + 30
Supervisor: MEG