Dr. Jiaqi Yang Profile

Dr. Jiaqi Yang

at Huazhong Univ of Science and Technology

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Proceedings Article | 21 July 2017 Paper

3D reconstruction from non-uniform point clouds via local hierarchical clustering

Jiaqi Yang, Ruibo Li, Yang Xiao, Zhiguo Cao

Proceedings Volume 10420, 1042038 (2017) https://doi.org/10.1117/12.2281528

KEYWORDS: 3D modeling, Clouds

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Raw scanned 3D point clouds are usually irregularly distributed due to the essential shortcomings of laser sensors, which therefore poses a great challenge for high-quality 3D surface reconstruction. This paper tackles this problem by proposing a local hierarchical clustering (LHC) method to improve the consistency of point distribution. Specifically, LHC consists of two steps: 1) adaptive octree-based decomposition of 3D space, and 2) hierarchical clustering. The former aims at reducing the computational complexity and the latter transforms the non-uniform point set into uniform one. Experimental results on real-world scanned point clouds validate the effectiveness of our method from both qualitative and quantitative aspects.

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