Title :
Multi-resolution representation of 3D complex building models with features preservation
Author :
Jiang, Shaobo ; Yang, Bisheng ; Sun, Xuan
Author_Institution :
State Key Lab. of Inf. Eng. in Surveying, Mapping & Remote Sensing, Wuhan Univ., Wuhan, China
Abstract :
Automated constructing multi-resolution 3D building models is an important issue in the contexts of virtual reality, progressive transmission and 3D GIS. This paper proposes a novel method to generate multi-resolution representations of the 3D complex building model with features preservation based on cell clustering. The quadratic error function is constructed to efficiently measure the clustering error of each cell. First, the 3D complex building model is converted into volumetric representation. Then, the boundary cells are progressively clustered into a coarser version and a corresponding cell binary tree is generated. Finally, the simplified building model can be extracted according to a modified dual contouring algorithm. The experimental results show that the proposed approach provides an efficient and robust solution for the automated generation of multi-resolution building models, with capability of preserving the dominated structure features.
Keywords :
civil engineering computing; geographic information systems; solid modelling; virtual reality; 3D GIS; 3D complex building model; automated constructing multiresolution 3D building model; cell binary tree; feature preservation; modified dual contouring algorithm; multiresolution building model; multiresolution representation; multiresolution representations; quadratic error function; virtual reality; Binary trees; Buildings; Clustering algorithms; Data models; Solid modeling; Surface reconstruction; Three dimensional displays; 3D complex building; features preservation; levels of detail (LOD); quadratic error function;
Conference_Titel :
Geoinformatics, 2011 19th International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-61284-849-5
DOI :
10.1109/GeoInformatics.2011.5980708