Machine-vision-guided rotation axis alignment for an optomechanical derotator

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OriginalspracheEnglisch
Seiten (von - bis)456-463
Seitenumfang8
FachzeitschriftOptics and Lasers in Engineering
Jahrgang121
Frühes Online-Datum16 Mai 2019
PublikationsstatusVeröffentlicht - Okt. 2019

Abstract

An image derotator is a device that can compensate the image blur caused by the rotation of an object. However, a key problem when using a derotator is to ensure the coincident alignment between the rotation axes of the derotator and measured object. An approach of machine-vision-guided rotation axis alignment is proposed in this paper. Circular markers and a laser dot are deployed to indicate the rotation axes of the derotator and object, respectively. A binocular stereo sensor is established to estimate the poses of both axes. With the misalignment information between the two axes updated in real-time, axis alignment can be achieved through manual adjustment. The validity and precision of the proposed approach are demonstrated through experiments.

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Machine-vision-guided rotation axis alignment for an optomechanical derotator. / Yin, Yongkai; Altmann, Bettina; Pape, Christian et al.
in: Optics and Lasers in Engineering, Jahrgang 121, 10.2019, S. 456-463.

Publikation: Beitrag in FachzeitschriftArtikelForschungPeer-Review

Yin Y, Altmann B, Pape C, Reithmeier E. Machine-vision-guided rotation axis alignment for an optomechanical derotator. Optics and Lasers in Engineering. 2019 Okt;121:456-463. Epub 2019 Mai 16. doi: 10.1016/j.optlaseng.2019.05.001
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abstract = "An image derotator is a device that can compensate the image blur caused by the rotation of an object. However, a key problem when using a derotator is to ensure the coincident alignment between the rotation axes of the derotator and measured object. An approach of machine-vision-guided rotation axis alignment is proposed in this paper. Circular markers and a laser dot are deployed to indicate the rotation axes of the derotator and object, respectively. A binocular stereo sensor is established to estimate the poses of both axes. With the misalignment information between the two axes updated in real-time, axis alignment can be achieved through manual adjustment. The validity and precision of the proposed approach are demonstrated through experiments.",
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AU - Yin, Yongkai

AU - Altmann, Bettina

AU - Pape, Christian

AU - Reithmeier, Eduard

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