Sensors 2009, 9(1), 355-375; doi:10.3390/s90100355
Article

Evaluation of the Convergence Region of an Automated Registration Method for 3D Laser Scanner Point Clouds

Kwang-Ho Baeemail
Department of Spatial Sciences, Curtin University of Technology, GPO Box U1987, Perth, WA 6845, Australia
Received: 8 December 2008; in revised form: 30 December 2008 / Accepted: 4 January 2009 / Published: 8 January 2009
(This article belongs to the Section Remote Sensors)
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Abstract: Using three dimensional point clouds from both simulated and real datasets from close and terrestrial laser scanners, the rotational and translational convergence regions of Geometric Primitive Iterative Closest Points (GP-ICP) are empirically evaluated. The results demonstrate the GP-ICP has a larger rotational convergence region than the existing methods, e.g., the Iterative Closest Point (ICP).
Keywords: Convergence region; registration; terrestrial laser scanners; point clouds

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MDPI and ACS Style

Bae, K.-H. Evaluation of the Convergence Region of an Automated Registration Method for 3D Laser Scanner Point Clouds. Sensors 2009, 9, 355-375.

AMA Style

Bae K-H. Evaluation of the Convergence Region of an Automated Registration Method for 3D Laser Scanner Point Clouds. Sensors. 2009; 9(1):355-375.

Chicago/Turabian Style

Bae, Kwang-Ho. 2009. "Evaluation of the Convergence Region of an Automated Registration Method for 3D Laser Scanner Point Clouds." Sensors 9, no. 1: 355-375.

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