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Open AccessArticle

Three-Dimensional Registration for Handheld Profiling Systems Based on Multiple Shot Structured Light

1
School of Electronics Engineering, IT College, Kyungpook National University, 1370 Sankyuk-dong, Buk-gu, Daegu 41566, Korea
2
Research Center for Neurosurgical Robotic System, Kyungpook National University, 1370 Sankyuk-dong, Buk-gu, Daegu 41566, Korea
*
Author to whom correspondence should be addressed.
Sensors 2018, 18(4), 1146; https://doi.org/10.3390/s18041146
Received: 15 February 2018 / Revised: 27 March 2018 / Accepted: 3 April 2018 / Published: 9 April 2018
(This article belongs to the Special Issue Depth Sensors and 3D Vision)
In this article, a multi-view registration approach for the 3D handheld profiling system based on the multiple shot structured light technique is proposed. The multi-view registration approach is categorized into coarse registration and point cloud refinement using the iterative closest point (ICP) algorithm. Coarse registration of multiple point clouds was performed using relative orientation and translation parameters estimated via homography-based visual navigation. The proposed system was evaluated using an artificial human skull and a paper box object. For the quantitative evaluation of the accuracy of a single 3D scan, a paper box was reconstructed, and the mean errors in its height and breadth were found to be 9.4 μm and 23 μm, respectively. A comprehensive quantitative evaluation and comparison of proposed algorithm was performed with other variants of ICP. The root mean square error for the ICP algorithm to register a pair of point clouds of the skull object was also found to be less than 1 mm. View Full-Text
Keywords: multi-view registration; multiple shot structured light; handheld 3D scanning; coarse registration; registration refinement; visual navigation multi-view registration; multiple shot structured light; handheld 3D scanning; coarse registration; registration refinement; visual navigation
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MDPI and ACS Style

Ayaz, S.M.; Khan, D.; Kim, M.Y. Three-Dimensional Registration for Handheld Profiling Systems Based on Multiple Shot Structured Light. Sensors 2018, 18, 1146. https://doi.org/10.3390/s18041146

AMA Style

Ayaz SM, Khan D, Kim MY. Three-Dimensional Registration for Handheld Profiling Systems Based on Multiple Shot Structured Light. Sensors. 2018; 18(4):1146. https://doi.org/10.3390/s18041146

Chicago/Turabian Style

Ayaz, Shirazi M.; Khan, Danish; Kim, Min Y. 2018. "Three-Dimensional Registration for Handheld Profiling Systems Based on Multiple Shot Structured Light" Sensors 18, no. 4: 1146. https://doi.org/10.3390/s18041146

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