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Articles | Volume XLII-3
Articles | Volume XLII-3
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3, 2093–2100, 2018
https://doi.org/10.5194/isprs-archives-XLII-3-2093-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3, 2093–2100, 2018
https://doi.org/10.5194/isprs-archives-XLII-3-2093-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume XLII-3

  30 Apr 2018

30 Apr 2018

A GLOBAL REGISTRATION ALGORITHM OF THE SINGLE-CLOSED RING MULTI-STATIONS POINT CLOUD

R. Yang1,2,3, L. Pan1,2, Z. Xiang3, and H. Zeng4,5 R. Yang et al.
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  • 1School of Civil Engineering, Chongqing University, Chongqing, 400045, China
  • 2Key Laboratory of New Technology for Construction of Cities in Mountain Area (Chongqing University), Ministry of Education, Chongqing, 400045, China
  • 3Chongqing Survey Institute, Chongqing, 401121, China
  • 4Hubei Key Laboratory of Intelligent Vision Based Monitoring for Hydroelectric Engineering, China Three Gorges University, Yichang, 443002, China
  • 5Key Laboratory of Geological Hazards on Three Gorges Reservoir Area (China Three Gorges University), Ministry of Education, Yichang, 443002, China

Keywords: Terrestrial laser scanning; Multi-stations registration, ICP, Global registration, Single-Closed Ring, Point Cloud

Abstract. Aimed at the global registration problem of the single-closed ring multi-stations point cloud, a formula in order to calculate the error of rotation matrix was constructed according to the definition of error. The global registration algorithm of multi-station point cloud was derived to minimize the error of rotation matrix. And fast-computing formulas of transformation matrix with whose implementation steps and simulation experiment scheme was given. Compared three different processing schemes of multi-station point cloud, the experimental results showed that the effectiveness of the new global registration method was verified, and it could effectively complete the global registration of point cloud.

How to cite. Yang, R., Pan, L., Xiang, Z., and Zeng, H.: A GLOBAL REGISTRATION ALGORITHM OF THE SINGLE-CLOSED RING MULTI-STATIONS POINT CLOUD, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3, 2093–2100, https://doi.org/10.5194/isprs-archives-XLII-3-2093-2018, 2018.