A hybrid system for semi-automatic 3D building modeling

Jiann-Yeou Rau, Liang Chien Chen, Tee Ann Teo, Yi-Hsing Tseng, Szu Jen Chen

Research output: Chapter in Book/Report/Conference proceedingConference contribution


There are two major strategies for building modeling, i.e. data-driven and modeldriven approaches. Those two methods have their own advantage. For example, as for spherical dome the extraction of structure lines from images or LiDAR in the data-driven approach is not practical and impossible. But it is easy to adopt a parametric model for modeling a spheroid. In the paper, we propose a hybrid system that combines the data-driven and model-driven approaches for building modeling. It fuses both approaches' excellence and compensate for each other to increase the degree of completeness of modeling. The input data is the airborne stereo-imagery with orientation parameters. During building reconstruction, depend on the type of buildings the operator may select either data-driven or model-driven approach. For data-driven, the 3D structure lines have to be measured and we can adopt the Split-Merge-Shape algorithm to reconstruct its detailed rooftop structure, such as gable, hipped, cross gable and cross hipped, etc. For roof type in cylindroids or spheroid, the model-driven approach is suggested that an intermediate parametric model will be utilized and converted to a generalized polyhedral model at the end. In the measurement of 3D structure lines from roof corners and 3D point from rooftop, a naked-eye stereo-measurement GUI without special hardware was designed to accomplish the whole process. Experimental results demonstrate that the proposed scheme can generate most kinds of building models effectively.

Original languageEnglish
Title of host publication28th Asian Conference on Remote Sensing 2007, ACRS 2007
Number of pages7
Publication statusPublished - 2007 Dec 1
Event28th Asian Conference on Remote Sensing 2007, ACRS 2007 - Kuala Lumpur, Malaysia
Duration: 2007 Nov 122007 Nov 16

Publication series

Name28th Asian Conference on Remote Sensing 2007, ACRS 2007


Other28th Asian Conference on Remote Sensing 2007, ACRS 2007
CityKuala Lumpur

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications


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