Visibility Optimization for Direct and Indirect Volume Rendering Using Level Set Propagation

Area of Science:

• Scientific Visualization
• Computer Graphics
• Data Analysis

Background:

• Volumetric data is crucial across scientific fields (e.g., medicine, geology, cosmology).
• Direct (ray marching) and indirect (isocontours) rendering methods are used, often combined for enhanced depth perception.
• Occlusion remains a significant challenge in visualizing 3D data, hindering the perception of important structures.

Purpose of the Study:

• To develop an optimization approach for joint visibility optimization of volumetric data and surface geometry.
• To enable users to reveal occluded structures by dynamically adjusting explicit and implicit geometry, as well as the volume itself.

Main Methods:

• Implicitly modeling geometry as a level set of a signed distance field.
• Evolving the level set using normal flow to reduce occlusion.
• Employing non-linear optimization including gradient descent, level set propagation, and multi-grid optimization.

Main Results:

• A novel optimization approach for joint visibility optimization of volumetric data and surface geometry.
• Demonstrated ability to reveal user-identified important structures by dynamically adjusting geometry and volume rendering.
• Comparison with previous visibility optimization techniques.

Conclusions:

• The proposed method effectively addresses occlusion challenges in scientific visualization.
• This technique enhances the exploration and understanding of complex 3D volumetric datasets.
• Offers a promising advancement in interactive scientific visualization tools.