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Yu-Lin Zhao Wei-Ting Weng Han-Pang Huang

Abstract

Camera calibration is the basis of computer vision, and the quality of the calibration results directly determines the accuracy of a computer vision system. In order to make up for the deficiency of existing calibration methods and to improve accuracy, a novel calibration method is proposed, which can calculate the internal, external, and distortion parameters of the camera. Internal parameters and distortion are inherent properties of the camera, which can be easily calculated by package software and do not change. External parameters, however, are contingent on the real world and therefore subject to change Thus, we design a self-made mechanism, which works with the robot navigation system, to calculate them. Overall, this method can obtain the spatial relationship between the robot and the camera while improving the performance of the visual servoing system.  

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Keywords

Calibration, Mobile robots, Robot vision systems

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