With large scientific and medical datasets, visualization tools have trouble maintaining a high enough frame-rate to remain interactive. In this paper, we present a novel GPU based system that permits visualization of isosurfaces in large data sets in real time. In particular, we present a novel use of a depth buffer to speed up the operation of rotating around a volume data set. As the user rotates the viewpoint around the 3D volume data, there is much coherence between depth buffers from two sequential renderings. We utilize this coherence in our novel prediction buffer approach, and achieve
a marked increase in speed during rotation.
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