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Conference Paper: Calibration of a structure light based windshield inspection system

TitleCalibration of a structure light based windshield inspection system
Authors
Issue Date2010
Citation
Proceedings - IEEE International Conference on Robotics and Automation, 2010, p. 3686-3691 How to Cite?
AbstractThree dimensional optic measurement system's accuracy is highly related with the field of inspection. Increasing of field inspection costs increasing camera / projector pixel area on the test surface. Small surface changes within one pixel area cannot be directly detected, which will lower the system accuracy. A pixel-to-pixel strategy is developed to solve this problem. Increasing field of inspection also costs a longer standoff distance. The random image noise from the environment, uncertainties functions by lens distortion and resolution variation are all amplified. Therefore, a more complicated calibration model for each pixel is proposed to calibrate the system. In traditional structured light vision systems, a single sensor usually detects around 10,000 - 50,000 mm2, and the 3D vision sensor in this paper needs to detect around 2,400,000 mm2. Larger detection range gives more challenge to finish the calibration tasks. This paper proposes a clear calibration procedure to a large field of inspection structured light system. Last the comparison with the CMM measured results is used to prove that the calibration tasks have been successfully achieved. ©2010 IEEE.
Persistent Identifierhttp://hdl.handle.net/10722/213118
ISSN

 

DC FieldValueLanguage
dc.contributor.authorZhang, Chi-
dc.contributor.authorXi, Ning-
dc.contributor.authorXu, Jing-
dc.contributor.authorShi, Quan-
dc.date.accessioned2015-07-28T04:06:11Z-
dc.date.available2015-07-28T04:06:11Z-
dc.date.issued2010-
dc.identifier.citationProceedings - IEEE International Conference on Robotics and Automation, 2010, p. 3686-3691-
dc.identifier.issn1050-4729-
dc.identifier.urihttp://hdl.handle.net/10722/213118-
dc.description.abstractThree dimensional optic measurement system's accuracy is highly related with the field of inspection. Increasing of field inspection costs increasing camera / projector pixel area on the test surface. Small surface changes within one pixel area cannot be directly detected, which will lower the system accuracy. A pixel-to-pixel strategy is developed to solve this problem. Increasing field of inspection also costs a longer standoff distance. The random image noise from the environment, uncertainties functions by lens distortion and resolution variation are all amplified. Therefore, a more complicated calibration model for each pixel is proposed to calibrate the system. In traditional structured light vision systems, a single sensor usually detects around 10,000 - 50,000 mm2, and the 3D vision sensor in this paper needs to detect around 2,400,000 mm2. Larger detection range gives more challenge to finish the calibration tasks. This paper proposes a clear calibration procedure to a large field of inspection structured light system. Last the comparison with the CMM measured results is used to prove that the calibration tasks have been successfully achieved. ©2010 IEEE.-
dc.languageeng-
dc.relation.ispartofProceedings - IEEE International Conference on Robotics and Automation-
dc.titleCalibration of a structure light based windshield inspection system-
dc.typeConference_Paper-
dc.description.natureLink_to_subscribed_fulltext-
dc.identifier.doi10.1109/ROBOT.2010.5509195-
dc.identifier.scopuseid_2-s2.0-77955829586-
dc.identifier.spage3686-
dc.identifier.epage3691-

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