Multi-view urban scene reconstruction in non-uniform volume

Runchao Mao; Qiang Wu; Yu Qiao; Li Bai; Jie Yang

doi:10.1117/12.2049800

24 December 2013 Multi-view urban scene reconstruction in non-uniform volume

Runchao Mao, Qiang Wu, Yu Qiao, Li Bai, Jie Yang

Proceedings Volume 9067, Sixth International Conference on Machine Vision (ICMV 2013); 90670A (2013) https://doi.org/10.1117/12.2049800
Event: Sixth International Conference on Machine Vision (ICMV 13), 2013, London, United Kingdom

Abstract

This paper presents a new fully automatic approach for multi-view urban scene reconstruction. Our algorithm is based on the Manhattan-World assumption, which can provide compact models while preserving fidelity of synthetic architectures. Starting from a dense point cloud, we extract its main axes by global optimization, and construct a nonuniform volume based on them. A graph model is created from volume facets rather than voxels. Appropriate edge weights are defined to ensure the validity and quality of the surface reconstruction. Compared with the common pointcloud- to-model methods, the proposed methodology exploits image information to unveil the real structures of holes in the point cloud. Experiments demonstrate the encouraging performance of the algorithm.

Citation Download Citation

Runchao Mao, Qiang Wu, Yu Qiao, Li Bai, and Jie Yang "Multi-view urban scene reconstruction in non-uniform volume", Proc. SPIE 9067, Sixth International Conference on Machine Vision (ICMV 2013), 90670A (24 December 2013); https://doi.org/10.1117/12.2049800

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