Viewing angle uncertainty in volumetric visualization

Abigail Joseph; Suresh Kumar Lodha; Tao Starbow

doi:10.1117/12.309532

14 May 1998 Viewing angle uncertainty in volumetric visualization

Abigail Joseph, Suresh Kumar Lodha, Tao Starbow

Proceedings Volume 3298, Visual Data Exploration and Analysis V; (1998) https://doi.org/10.1117/12.309532
Event: Photonics West '98 Electronic Imaging, 1998, San Jose, CA, United States

Abstract

Many direct volume rendering algorithms are routinely used to render volumetric data in scientific applications. Different algorithms, however, produce different results and may lead to different interpretations of the scientific data. There are many factors that contribute to different results including the rendering algorithm such as the ray tracing or projection method. Within the algorithm itself such as ray tracing, there are many factors such as the number of samples, desired opacity, sample location etc., that lead to different images. In some of these cases, the differences between the images are significant enough to demand further investigation. In this work we investigate the sensitivity of differences between images to the viewing angle. In other words, we employ different visualization methods and obtain different images for the same viewing angle. The dependence of these differences on the viewing angle is then investigated. These difference images are visualized by pasting them on six sides of a cube corresponding to six different viewing angles. These differences are also visualized by using glyphs on a sphere, where each point on a sphere corresponds to a viewing angle. For most viewing angles, these differences are not significant and therefore, in such cases, inexpensive visualization algorithms can be employed. In some cases, where the differences are large, our technique compels the user to incorporate uncertainty while drawing conclusions from those images. We also discuss extensions of this work to incorporate uncertainty in volumetric visualization corresponding to different choices of color mapping or opacity.

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Abigail Joseph, Suresh Kumar Lodha, and Tao Starbow "Viewing angle uncertainty in volumetric visualization", Proc. SPIE 3298, Visual Data Exploration and Analysis V, (14 May 1998); https://doi.org/10.1117/12.309532

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KEYWORDS

Visualization

Opacity

Optical spheres

Volume rendering

Digital video recorders

Ray tracing

RGB color model

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