8 December 2017 Target-based calibration method for multifields of view measurement using multiple stereo digital image correlation systems
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Abstract
Multiple digital image correlation (DIC) systems can enlarge the measurement field without losing effective resolution in the area of interest (AOI). However, the results calculated in substereo DIC systems are located in its local coordinate system in most cases. To stitch the data obtained by each individual system, a data merging algorithm is presented in this paper for global measurement of multiple stereo DIC systems. A set of encoded targets is employed to assist the extrinsic calibration, of which the three-dimensional (3-D) coordinates are reconstructed via digital close range photogrammetry. Combining the 3-D targets with precalibrated intrinsic parameters of all cameras, the extrinsic calibration is significantly simplified. After calculating in substereo DIC systems, all data can be merged into a universal coordinate system based on the extrinsic calibration. Four stereo DIC systems are applied to a four point bending experiment of a steel reinforced concrete beam structure. Results demonstrate high accuracy for the displacement data merging in the overlapping field of views (FOVs) and show feasibility for the distributed FOVs measurement.
© 2017 Society of Photo-Optical Instrumentation Engineers (SPIE)
Shuai Dong, Shanshan Yu, Zheng Huang, Shoutan Song, Xinxing Shao, Xin Kang, Xiaoyuan He, "Target-based calibration method for multifields of view measurement using multiple stereo digital image correlation systems," Optical Engineering 56(12), 124102 (8 December 2017). https://doi.org/10.1117/1.OE.56.12.124102 . Submission: Received: 30 August 2017; Accepted: 14 November 2017
Received: 30 August 2017; Accepted: 14 November 2017; Published: 8 December 2017
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