The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Articles | Volume XLII-2/W13
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2/W13, 963–968, 2019
https://doi.org/10.5194/isprs-archives-XLII-2-W13-963-2019
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2/W13, 963–968, 2019
https://doi.org/10.5194/isprs-archives-XLII-2-W13-963-2019

  05 Jun 2019

05 Jun 2019

TLS POINT CLOUD REGISTRATION BASED ON ICP ALGORITHM USING POINT QUALITY

H. Date1, E. Wakisaka2, Y. Moribe3, and S. Kanai1 H. Date et al.
  • 1Graduate School of Information Science and Technology, Hokkaido University, 060-0814 Sapporo, Japan
  • 2Shinryo Corporation, Tsukuba, Japan
  • 3Sanki Engineering Corporation, Kitakyusyu, Japan

Keywords: TLS, Point clouds, Registration, ICP Algorithm, weighting, Point quality

Abstract. A simple extension method of the ICP algorithm using point quality based on the distance and incident angle is presented for improving the registration accuracy of TLS point clouds. First, using a structured point cloud representation, the distance and incident angle of each point are calculated. Then, quality measures for the distance and incident angle are defined, considering the relationship between them and the scanning errors. Finally, an extension method of the ICP algorithm by the weighting using the estimated point qualities is described. A method for efficient matching using point properties is also introduced. The proposed method is applied to two datasets of TLS point clouds of a small plant and an outdoor environment, and the effectiveness is evaluated by comparing registration errors with the ground truths obtained using the scan target and a total station.