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Materializing Inter-Channel Relationships With Multi-Density Woodcock Tracking
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AI
DOI：10.1109/TVCG.2026.3653310.png)
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Abstract
En 中文
Volume rendering techniques for scientific visualization have recently shifted toward Monte Carlo (MC) methods for their flexibility and robustness, but their use in multi-channel visualization remains underexplored. Traditional multi-channel volume rendering often relies on arbitrary, non-physically based color blending functions that hinder interpretation. We introduce multi-density Woodcock tracking, a simple extension of Woodcock tracking that leverages an MC method to produce high-fidelity, physically grounded multi-channel renderings without arbitrary blending. By generalizing Woodcock’s distance tracking, we provide a unified blending modality that also integrates blending functions from prior works. We further implement effects that enhance boundary and feature recognition. By accumulating frames in real-time, our approach delivers high-quality visualizations with perceptual benefits, demonstrated on diverse datasets.
Keywords:
Ray tracing
volume rendering
scientific visualization
Monte Carlo methods
Journal
IF:
6.5
Papers:
294
Citations:
2.2W
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