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Proceedings Paper

Range image registration for industrial inspection
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Paper Abstract

In Computer vision there are a lot of applications that are based on the 3D vision. For example, object modeling for reverse engineering in manufacturing, map building, industrial inspection and so on. However, the surface acquired by most part of sensors only represents a part of the object. To solve this problem, several images of the same object are acquired in different positions. After that, all views are transformed to the same coordinate system. This process is known as Range Image Registration and it is the goal of this work. This work surveys the most common registration methods. These kinds of methods are used to reconstruct 3D complete models of objects. Moreover, a classification of the registration methods is presented. This classification is based on the accuracy of the results. In this survey the principal methods are classified and commented. In order to compare them, experimental results are performed using synthetic and real data. The quality of some results indicates that the result of the registration can be used to compare a real object with the 3D models of them. It can be used in manufacturing process in order to inspect the quality of the produced objects.

Paper Details

Date Published: 24 February 2005
PDF: 12 pages
Proc. SPIE 5679, Machine Vision Applications in Industrial Inspection XIII, (24 February 2005); doi: 10.1117/12.585244
Show Author Affiliations
Carles Matabosch, Univ. de Girona (Spain)
Joaquim Salvi, Univ. de Girona (Spain)
David Fofi, Le2i-CNRS, Univ. de Bourgogne (France)
Fabrice Meriaudeau, Le2i-CNRS, Univ. de Bourgogne (France)

Published in SPIE Proceedings Vol. 5679:
Machine Vision Applications in Industrial Inspection XIII
Jeffery R. Price; Fabrice Meriaudeau, Editor(s)

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