The CAVE: audio visual experience automatic virtual environment
Communications of the ACM
Exploring geo-scientific data in virtual environments
VIS '99 Proceedings of the conference on Visualization '99: celebrating ten years
Design and implementation of an immersive geoscience toolkit (case study)
VIS '99 Proceedings of the conference on Visualization '99: celebrating ten years
Proceedings of the conference on Visualization '02
A geoscience perspective on immersive 3D gridded data visualization
Computers & Geosciences
Atta texana leafcutting ant colony: a view underground
ACM SIGGRAPH 2008 talks
Immersive Visualization and Analysis of LiDAR Data
ISVC '08 Proceedings of the 4th International Symposium on Advances in Visual Computing
Environment-Independent VR Development
ISVC '08 Proceedings of the 4th International Symposium on Advances in Visual Computing
IQ-Station: a low cost portable immersive environment
ISVC'10 Proceedings of the 6th international conference on Advances in visual computing - Volume Part II
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Ground Penetrating Radar is a geophysical technique for obtaining information about sub-surface earth materials. Geologists use the data collected to obtain a view of terrain underground. This data is typically viewed using a desktop interface where the user usually interacts using a keyboard and mouse. Visualizing the data in a slice by slice 2D format can be difficult to interpret. Instead, we created a program for an immersive visualization environment that uses tracked input devices. This is done using real-time, stereoscopic, perspective-corrected, slice-based volume rendering. To aid with the visualization the user can modify the display of the volume using integrated tools, such as transfer functions, lighting, and color maps. Users are also given data analysis tools to take application-specific measurements such as dip, strike, other angles, and distances in 3D. Compared to typical desktop interface interactions, the 6-degree of freedom user interface provided by the immersive visualization environment makes it notably easier to perform the application-specific measurements.