A Calibration Method of CBCT Geometric Parameters Based on the Visual Imaging Model
In this paper, a framework for calibrating and correcting geometric parameters of CBCT based on visual imaging model is designed. Based on this framework, an automatic detection and recognition method for markers and a calibration and correction method for geometric parameters of CBCT under complex conditions are designed. Specifically, an algorithm for detecting and recognizing markers with high robustness and accuracy to rotation, illumination and marking imaging deformation is proposed. The geometric parameters of visual imaging model are estimated by using the corresponding relationship of high-precision markers, and the geometric parameters are optimized and corrected based on the minimum re-projection error.
KeywordsVisual imaging model CBCT Calibration Marker detection Marker recognition
This work is supported by the National Natural Science Foundation of China (61703436), and the Fundamental Research Funds for the Central Universities (3332018103).
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