NDLI: Calibration of a structure light based windshield inspection system

Content Provider	IEEE Xplore Digital Library
Author	Chi Zhang Ning Xi Jing Xu Quan Shi
Copyright Year	2010
Description	Author affiliation: PPG Industries Inc., Glass Research Center, 400 Guys Run Road. Cheswick, PA, 15024, USA (Quan Shi) \|\| Department of Electrical and Computer Engineering, Michigan State University, East Lansing, 48824, USA (Chi Zhang; Ning Xi; Jing Xu)
Abstract	Three 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 $mm^{2},$ and the 3D vision sensor in this paper needs to detect around 2,400,000 $mm^{2}.$ 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.
Starting Page	3686
Ending Page	3691
File Size	1386206
Page Count	6
File Format	PDF
ISBN	9781424450381
ISSN	10504729
DOI	10.1109/ROBOT.2010.5509195
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-05-03
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Calibration Automotive components Inspection Costs Sensor systems Optical distortion Optical sensors Cameras Testing Working environment noise
Content Type	Text
Resource Type	Article
Subject	Artificial Intelligence Control and Systems Engineering Electrical and Electronic Engineering Software

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