Abstract
This paper surveys zoom-lens calibration approaches, such as pattern-based calibration, self-calibration, and hybrid (or semiautomatic) calibration. We describe the characteristics and applications of various calibration methods employed in zoom-lens calibration and offer a novel classification model for zoom-lens calibration approaches in both single and stereo cameras. We elaborate on these calibration techniques to discuss their common characteristics and attributes. Finally, we present a comparative analysis of zoom-lens calibration approaches, highlighting the advantages and disadvantages of each approach. Furthermore, we compare the linear and nonlinear camera models proposed for zoom-lens calibration and enlist the different techniques used to model the camera’s parameters for zoom (or focus) settings.
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This work was supported by ICT R&D program of MSIP/IITP. (R7124-16-0004, Development of Intelligent Interaction Technology Based on Context Awareness and Human Intention Understanding).
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Ayaz, S.M., Kim, M.Y. & Park, J. Survey on zoom-lens calibration methods and techniques. Machine Vision and Applications 28, 803–818 (2017). https://doi.org/10.1007/s00138-017-0863-1
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DOI: https://doi.org/10.1007/s00138-017-0863-1