Perception-driven Simplification Methodology of 3d Complex Building Models

The 3D complex building models are commonly of massive data, detailed appearance and sophisticated topology. The LOD modelling and real-time visualization of such models have hampered the wider applications of Virtual Geographic Environments. Aimed at the drawback of traditional simplification methods—difficult to locate the components, primitives that have to be decimated, this paper proposes a novel simplification method to locate the model portions need to be simplified based on the rendered image analysis. The main idea is to convert the recognition and assessment of the complex object’s geometric features in 3D object space to the 2D image space, and to use the image filtering based on Human Visual System (HVS) model to guide the simplification operations in 3D space. Taking a complex timber-frame building model as an example, the experiment suggests that the method can effectively reduce the imperceptible details on the model surface, so that the data volume is decreased dramatically and the model’s shape is hold well. * The work described in this paper is supported by the National Natural Science Foundation of China (40671158), the National High Technology Research (2006AA12Z224) and Development Program of China (2004CB318206). ** Corresponding author.