The purpose of this study was to create a new method for visualizing music. Although many music visualizations already exist, this research was focused on creating high-quality, high-complexity animations that cannot be matched by real-time systems. There should be an obvious similarity between the input music and the final animation, based on the music information which the user decides to extract and visualize. This project includes a pipeline for music data extraction and creation of an editable visualization file. Within the pipeline, a music file is read into a custom analysis tool and time-based data is extracted. This data is output and then read into Autodesk Maya. The user may then manipulate the visualization as they see fit using the tools within Maya and render out a final animation. The default result of this process is a Maya scene file which makes use of the dynamics systems available to warp and contort a jelly-like cube. A variety of other visualizations may be obtained by mapping the data to different object attributes within the Maya interface. When rendered out and overlaid onto the music, there was a recognizable correlation between elements in the music and the animations in the video. This study shows that an accurate musical visualization may be achieved using this pipeline. Also, any number of different music visualizations may be obtained with relative ease when compared to the manual analysis of a music file or the manual animation of Maya objects to match elements in the music.

We propose a real-time system to visualize multi-viewpoint visibility information for terrains, supporting flight path optimization for view coverage or vehicle exposure to ground. A volume rendered display and a haptic interface assist the user in selecting, assessing, and refining the computed flight path. We construct a three-dimensional scalar field representing the visibility of a point above the terrain, describe an efficient algorithm to compute visibility, and develop visual and haptic schemes to interact with the visibility field. Given the origin and destination, the desired flight path is computed using an efficient simulation of an articulated rope under the influence of the visibility gradient. The simulation framework also accepts user input, via the haptic interface, thereby allowing manual refinement of the flight path.