Display of clouds taking into account multiple anisotropic scattering and sky light
SIGGRAPH '96 Proceedings of the 23rd annual conference on Computer graphics and interactive techniques
Visualization of turbulent flow by spot noise
Proceedings of the Eurographics workshop on Virtual environments and scientific visualization '96
Proceedings of the conference on Visualization '98
Proceedings of the conference on Visualization '00
Interactive rendering of atmospheric scattering effects using graphics hardware
Proceedings of the ACM SIGGRAPH/EUROGRAPHICS conference on Graphics hardware
Optical Models for Direct Volume Rendering
IEEE Transactions on Visualization and Computer Graphics
A Model for Volume Lighting and Modeling
IEEE Transactions on Visualization and Computer Graphics
SIGGRAPH '84 Proceedings of the 11th annual conference on Computer graphics and interactive techniques
A real-time cloud modeling, rendering, and animation system
Proceedings of the 2003 ACM SIGGRAPH/Eurographics symposium on Computer animation
Visually Accurate Multi-Field Weather Visualization
Proceedings of the 14th IEEE Visualization 2003 (VIS'03)
Curve-Skeleton Properties, Applications, and Algorithms
IEEE Transactions on Visualization and Computer Graphics
Spectral registration of noisy sonar data for underwater 3D mapping
Autonomous Robots
Visualization for the Physical Sciences
Computer Graphics Forum
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Most data used in the study of seafloor hydrothermal plumes consists of sonar (acoustic) scans and sensor readings. Visual data captures only a portion of the sonar data range due to the prohibitive cost and physical infeasibility of taking sufficient lighting and video equipment to such extreme depths. However, visual images are available from research dives and from the recent IMAX movie, Volcanoes of the Deep Sea. In this application paper, we apply existing lighting models with forward scattering and light attenuation to the 3D sonar data in order to mimic the visual images available. These generated images are compared to existing visual images. This can help the geoscientists understand the relationship between these different data modalities and elucidate some of the mechanisms used to capture the data.