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

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 / Revised: 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). View Full-Text
Keywords: Convergence region; registration; terrestrial laser scanners; point clouds Convergence region; registration; terrestrial laser scanners; point clouds
This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

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

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