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Then, for each detected corner, we apply a linear optimization, and finally, we calibrate the intrinsic and extrinsic parameters of the binocular vision setup by employing a nonlinear optimization scheme. We confirm the validity of our technique by analyzing the factors influencing the camera calibration accuracy and confirm the experimental conditions. Ultimately, we evaluate the proposed method and demonstrate that the mean error of our binocular vision architecture is more appealing compared to current literature. <\/jats:p>","DOI":"10.1142\/s0218001421550107","type":"journal-article","created":{"date-parts":[[2021,2,18]],"date-time":"2021-02-18T09:47:24Z","timestamp":1613641644000},"page":"2155010","source":"Crossref","is-referenced-by-count":10,"title":["Improved Camera Calibration Method and Accuracy Analysis for Binocular Vision"],"prefix":"10.1142","volume":"35","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7710-6039","authenticated-orcid":false,"given":"Ben","family":"Zhang","sequence":"first","affiliation":[{"name":"College of Mechanical and Electrical, Sanjiang University, Nanjing, P. R. China"},{"name":"College of Mechanical and Electrical, Hohai University, Changzhou, P. R. 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