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

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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