Non-complete Topological Analysis in Image-Based 3D Building Reconstruction

Authors:
Yu Wang;Xin Zheng
Affiliations:
Image Processing and Pattern Recognition Laboratory, Beijing Normal University, Beijing, China 100875;Image Processing and Pattern Recognition Laboratory, Beijing Normal University, Beijing, China 100875
Venue:
UAHCI '09 Proceedings of the 5th International Conference on Universal Access in Human-Computer Interaction. Part III: Applications and Services
Year:
2009

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Abstract

3D reconstruction from single view is a very difficult problem in computer vision and computer graphics. Much different from method using presently, we proposed a feasible and efficient method of 3D building reconstruction method by using non-complete topological analysis in this paper, which rapidly achieves the process of recognizing architectures based one or two images. Firstly, the outline of visible parts of architectures is extracted from image and is analyzed to get the incomplete topology of architectures. Next, the resulted topology will be divided into different primitive geometries, and these geometries are used to match models in databases finally. Experiments show that our method has better effectiveness and feasibility.