24 December 2013 Multi-view urban scene reconstruction in non-uniform volume
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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.
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Runchao Mao, Qiang Wu, Yu Qiao, Li Bai, 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); doi: 10.1117/12.2049800; https://doi.org/10.1117/12.2049800
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