Abstract
A calibration framework is established for an unfocused light-field camera and a robotic arm. With Gaussian optics and light-field imaging principles, the mapping relationship between a point light source and its corresponding plenoptic disc feature is established, and the intrinsic and extrinsic parameters of the unfocused light-field camera are calculated through nonlinear optimization. Transformation matrices for eye-to-hand and eye-in-hand configurations are subsequently solved and are validated by applying them to an industrial light-field camera-robotic arm system. With the proposed calibration method, 3D reconstruction for calibration board in different poses is demonstrated and calibration uncertainty is discussed in detail.
© 2022 Optica Publishing Group
Full Article | PDF ArticleMore Like This
Zewei Cai, Xiaoli Liu, Giancarlo Pedrini, Wolfgang Osten, and Xiang Peng
Opt. Express 27(15) 20177-20198 (2019)
Dongyang Jin, Xiao Huo, Saiping Zhang, Wei Zhang, Fuzheng Yang, and Jungang Yang
Appl. Opt. 62(2) 481-491 (2023)
Wang Xuechun, Wang Liang, and Duan Fuqing
Opt. Express 30(14) 24968-24983 (2022)