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Proceedings Paper

Accurate surface reconstruction of large 3D objects from range data
Author(s): Xiaokun Li; Lei He; Bryan Everding; Chia Yung Han; William G. Wee
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Paper Abstract

An algorithm for 3D surface reconstruction of large objects using a structured light pattern ranging system is presented. Highly accurate industrial inspection applications have been constrained by the limited range resolution and accuracy of current ranging devices and techniques. To overcome the limited range resolution, the ranging sensor uses a small field-of-view and multiple views. The proposed algorithm fuses surface data patches from the views to construct a large object surface. The algorithm also increases the accuracy of the reconstructed object with efficient numerical analysis and pre-processing. Experimental results show that the algorithm and the current sensor setup can reconstruct an object for inspection applications with the accuracy of approximately 1 mil (2.54μm ) tolerance.

Paper Details

Date Published: 22 May 2003
PDF: 12 pages
Proc. SPIE 5011, Machine Vision Applications in Industrial Inspection XI, (22 May 2003); doi: 10.1117/12.477507
Show Author Affiliations
Xiaokun Li, Univ. of Cincinnati (United States)
Lei He, Univ. of Cincinnati (United States)
Bryan Everding, Univ. of Cincinnati (United States)
Chia Yung Han, Univ. of Cincinnati (United States)
William G. Wee, Univ. of Cincinnati (United States)

Published in SPIE Proceedings Vol. 5011:
Machine Vision Applications in Industrial Inspection XI
Martin A. Hunt; Jeffery R. Price, Editor(s)

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