Geometric Simplification for Efficient Occlusion Culling in Urban Scenes

Abstract

Most occlusion culling algorithms select a subset of suitable occluder planes or geometries to exclude invisible objects from further
\nvisualization processing. Preferably these occluders are large and simple. For complex scenes it is worthwhile to generate virtual
\noccluders to replace complex occluder geometries by simple polygonal structures. In urban scenes, the facade of buildings
\ncomprises most of the occlusion potential. In this paper we present an algorithm to extract simplified facades from complex building
\nmodels, exploiting the fact that, in most cases, buildings have a 2.5D structure.