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A Calibration Method of CBCT Geometric Parameters Based on the Visual Imaging Model

机译:基于视觉成像模型的CBCT几何参数校准方法

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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.
机译:本文设计了一种基于视觉成像模型的CBCT校准和校正几何参数的框架。基于该框架,设计了基于复杂条件下CBCT几何参数标记的自动检测和识别方法和校准和校正方法。具体地,提出了一种用于检测和识别具有高稳健性和精度的标记的算法,以旋转,照明和标记成像变形的高稳健性和精度。通过使用高精度标记的相应关系来估计视觉成像模型的几何参数,并且基于最小重新投影误差优化和校正几何参数。

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