Journal article


Automatic registration method for multisensor datasets adopted for dimensional measurements on cutting tools


Publication Details
Author(s): Shaw L, Ettl S, Mehari FA, Weckenmann A, Häusler G
Publisher: Institute of Physics: Hybrid Open Access
Publication year: 2013
Volume: 24
Pages range: 045002 (8pp)
ISSN: 0957-0233

Abstract

Multisensor systems with optical 3D sensors are frequently employed to capture complete surface information by measuring workpieces from different views. During coarse and fine registration the resulting datasets are afterward transformed into one common coordinate system. Automatic fine registration methods are well established in dimensional metrology, whereas there is a deficit in automatic coarse registration methods. The advantage of a fully automatic registration procedure is twofold: it enables a fast and contact-free alignment and further a flexible application to datasets of any kind of optical 3D sensor. In this paper, an algorithm adapted for a robust automatic coarse registration is presented. The method was originally developed for the field of object reconstruction or localization. It is based on a segmentation of planes in the datasets to calculate the transformation parameters. The rotation is defined by the normals of three corresponding segmented planes of two overlapping datasets, while the translation is calculated via the intersection point of the segmented planes. First results have shown that the translation is strongly shape dependent: 3D data of objects with non-orthogonal planar flanks cannot be registered with the current method. In the novel supplement for the algorithm, the translation is additionally calculated via the distance between centroids of corresponding segmented planes, which results in more than one option for the transformation. A newly introduced measure considering the distance between the datasets after coarse registration evaluates the best possible transformation. Results of the robust automatic registration method are presented on the example of datasets taken from a cutting tool with a fringe-projection system and a focus-variation system. The successful application in dimensional metrology is proven with evaluations of shape parameters based on the registered datasets of a calibrated workpiece. © 2013 IOP Publishing Ltd.



How to cite
APA: Shaw, L., Ettl, S., Mehari, F.A., Weckenmann, A., & Häusler, G. (2013). Automatic registration method for multisensor datasets adopted for dimensional measurements on cutting tools. Measurement Science & Technology, 24, 045002 (8pp). https://dx.doi.org/10.1088/0957-0233/24/4/045002

MLA: Shaw, Laura, et al. "Automatic registration method for multisensor datasets adopted for dimensional measurements on cutting tools." Measurement Science & Technology 24 (2013): 045002 (8pp).

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