Application of super-resolution camera calibration method in DIC measurements

Camera calibration is an important component of stereo digital image correlation (DIC) measurements. However, traditional calibration images suffer from insufficient information and blurriness during corner detection at low resolutions, which limit the precision of calibration and measurement. To address this issue, a super-resolution corner detection method based on attention mechanism is proposed in this paper. The proposed method enhances the focus on the high-frequency information of calibration corners using attention mechanism, thereby enabling the reconstruction of low-resolution images to improve the accuracy of corner detection during calibration, thus enhancing the quality of camera calibration. Experimental results on DIC camera calibration reveal that the proposed corner detection method exhibits smaller reprojection errors. Furthermore, the calibration results using this method can improve the geometric reconstruction accuracy of DIC.