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Panoramic/Dual-Surface Digital Image Correlation Measurement Using a Single Camera

Kaiyu Zhu, Bing Pan

2022Sensors13 citationsDOIOpen Access PDF

Abstract

We propose a cost-effective and simple-to-implement mirror-assisted single-camera panoramic digital image correlation (DIC) method for panoramic/dual-surface profile and deformation measurement. Specifically, two planar mirrors and a single camera attached with a four-mirror adapter are used to capture stereo images of the front and rear surfaces of a test object. These stereo images can be processed by regular stereo-DIC to retrieve shape and kinematics fields of each surface. Further, with the speckle patterns prefabricated on the mirrors, reflection transformation matrices are obtained and applied to transform all reconstructed surfaces into a common world coordinate system. As such, panoramic/dual-surface shape and deformation measurements can be realized. For validation, a high-resolution smartphone camera and an industrial camera were, respectively, used to construct mirror-assisted single-camera panoramic DIC systems. Real experiments, including panoramic shape measurement of an aluminum cylinder, dual-surface shape measurement of an aluminum plate and uniaxial tensile tests of aluminum sheet specimens, were performed, confirming the feasibility and accuracy of the method. Since only a single camera and a few auxiliary reflective mirrors are required, the proposed method provides a cost-effective and convenient way for taking panoramic/dual-surface shape and deformation measurements of regular-sized cylindrical and bar samples.

Topics & Concepts

Artificial intelligenceStereo cameraComputer visionDigital image correlationOpticsDigital cameraComputer sciencePlanarDeformation (meteorology)Materials scienceComputer graphics (images)PhysicsComposite materialOptical measurement and interference techniquesAdvanced Vision and Imaging3D Surveying and Cultural Heritage
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