Acta Optica Sinica, Volume. 38, Issue 8, 0815004(2018)
Calibration Method for Large Field of View Image Matching Parameters Based on Non-Metric Correction
In order to solve the problem that images shot under industrial environment is considerably influenced by noise and distortion, precision of traditional algorithms for calibrating matching parameters cannot meet field measurement demand, a new method for calibrating large field of view image matching parameters based on non-metric correction is proposed. A layout plan of colinear feature points is designed, and based on non-metric correction, image coordinates of colinear feature points can be undistorted, which can be recognized and matched automatically with the aid of layout plan. Modified random sampling consensus algorithm based on regional division is proposed, and matching parameters can be calibrated. Experimental results show that matching precision is increased by 51% at least, which meets precision requirements under industrial environment.
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Zhiyuan Zhang, Wei Liu, Yang Zhang, Yongkang Lu, Hongtu Di, Fan Ye, Zhenyuan Jia. Calibration Method for Large Field of View Image Matching Parameters Based on Non-Metric Correction[J]. Acta Optica Sinica, 2018, 38(8): 0815004
Category: Machine Vision
Received: Apr. 23, 2018
Accepted: Jun. 7, 2018
Published Online: Sep. 6, 2018
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