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14 August 2019 Accurate features point extraction for omnidirectional camera calibration
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Proceedings Volume 11179, Eleventh International Conference on Digital Image Processing (ICDIP 2019); 111792J (2019) https://doi.org/10.1117/12.2539870
Event: Eleventh International Conference on Digital Image Processing (ICDIP 2019), 2019, Guangzhou, China
Abstract
The distorted checkerboard image affects the precision calibration in omnidirectional camera calibration due to inaccurate localization of features points. To solve this problem, an iterative refinement method is presented. Firstly, the initial-parameters are obtained from the traditional calibration method and the distorted checkerboard images are corrected to world coordinate system. Then, the features points are located in those undistorted images. The calibration parameters are recomputed in an iterative refinement until convergence. This iterative refinement method improves localization accuracy of feature points and consequently of camera calibration. The correctness and effectiveness of the method is proved by simulation experiments and physical experiments. The experiments show that the rep rojection error is reduced by 38% compared to traditional methods.
© (2019) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Xuanrui Gong, Yaowen Lv, Zicheng Xu, and Zhaoguo Jiang "Accurate features point extraction for omnidirectional camera calibration", Proc. SPIE 11179, Eleventh International Conference on Digital Image Processing (ICDIP 2019), 111792J (14 August 2019); https://doi.org/10.1117/12.2539870
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