A Systematic Approach for Cross-Source Point Cloud Registration by Preserving Macro and Micro Structures

We propose a systematic approach for registering cross-source point clouds that come from different kinds of sensors. This task is especially challenging due to the presence of significant missing data, large variations in point density, scale difference, large proportion of noise, and outliers. The...

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Veröffentlicht in:	IEEE transactions on image processing 2017-07, Vol.26 (7), p.3261-3276
Hauptverfasser:	Huang, Xiaoshui, Zhang, Jian, Fan, Lixin, Wu, Qiang, Yuan, Chun
Format:	Artikel
Sprache:	eng
Schlagworte:	Cross-source Feature extraction graph matching Image sensors Iterative closest point algorithm macro/micro point cloud registration Robustness Sensors Solid modeling Three-dimensional displays
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