An Occlusion Culling Toolkit for OpenSG PLUS

Abstract

Image-space occlusion culling is an useful approach to reduce the rendering load of large polygonal models in scienti c computing, mechanical engineering, or virtual medicine. Like most large model techniques, occlusion culling trades overhead costs with the rendering costs of the possibly occluded geometry. In this paper we present an occlusion culling toolkit for OpenSG. The toolkit includes three different image space techniques utilizing graphics hardware. These techniques are supported by other software techniques to optimize the occlusion culling queries. All techniques are conservative and usable with dynamic scenes, because no precomputing is necessary.