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Hardware Accelerated Visibility Preprocessing using Adaptive Sampling Abstract
BibTeX
@MISC{Jensen_hardwareaccelerated,
author = {H. W. Jensen and A. Keller (editors and S. Nirenstein and E. Blake},
title = {Hardware Accelerated Visibility Preprocessing using Adaptive Sampling Abstract},
year = {}
}
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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 minimal error (0.3 % of image). On average 91.3 % of the scene is culled.
Keyphrases
adaptive sampling abstract hardware accelerated visibility preprocessing effective error minimization potential image error polygon forest from-region visibility visible polygon many small polygon high degree empirical analysis various metric novel aggressive visibility image error conservative solution complex scene minimal error performance result depth error analysis present result commodity graphic hardware
