Abstract
achieve the calibration accuracy of the Kinect camera in a complex mine environment, the calibration process was simplified. In this paper, a camera calibration method based on a deep neural network is proposed, which can achieve flexible and high-precision calibration in-plane regions under a complex environment. Without data feature extraction or classification, the deep neural network can be trained quickly and effectively by optimizing network structure, super parameters, and training algorithm. Experimental results show that compared with the Zhang Zhengyou calibration method and shallow neural network calibration method, this method can achieve higher calibration accuracy in a wide range and multi angle shooting.
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