Materializing Inter-Channel Relationships with Multi-Density Woodcock Tracking
Presentation
- Session
- Turn up the volume(s)!
- Time
- Thursday, Nov 12, 14:00 – 14:12 (US/Eastern) · session 13:00 – 14:30
- Location
- Hall America north
Keywords
Rendering Computer Graphics, Image Color Analysis, Transfer Functions, Monte Carlo Methods, Mathematical Models, Data Visualization, Photonics, Costs, Three Dimensional Displays, Standards, Ray Tracing, Volume Rendering, Scientific Visualization, Monte Carlo Methods, Monte Carlo Simulation, Computer Science, Transfer Function, Maximum Density, Multiple Channels, Maximum Intensity Projection, Color Map, Scalar Value, Depth Perception, Ray Tracing, N Channel, Linear Cost, Volume Rendering, Visual Clutter, Nyquist Rate, Channel Transfer, 3 D Texture, Scientific Visualization, University Of Utah, Domain Experts, Performance Penalty, Color Mixing, Adaptive Sampling, Serialized, Fluid Dynamics
Abstract
Volume rendering techniques for scientific visualization has 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.