Hardware Accelerated Aggressive Visibility Preprocessing using Adaptive Sampling
Shaun Nirenstein and Edwin Blake
Download Paper (to be presented at the EGSR 2004)
Abstract
We present a novel aggressive visibility preprocessing technique for general
3D scenes. Our technique exploits commodity graphics hardware and is faster
than most conservative solutions, while simultaneously not overestimating
the set of visible polygons. The cost of this benefit is that of potential
image error.
In order to reduce image error, we have developed an effective error minimization
heuristic. We present results showing the application of our technique to
highly complex scenes, consisting of many small polygons. We give performance
results, an in depth error analysis using various metrics, and an empirical
analysis showing a high degree of scalability. We show that our technique
can rapidly compute from-region visibility (1hr 19min for a 5 million polygon
forest with GeForce 4 level hardware), with minimal error (0.3% of image).
On average 91.3% of the scene is culled.
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