CAJ | 학술논문

为了解决高精度摄像机标定过程中标定块制作难度大、标定方法对实验设备要求高、实验结果噪声鲁棒性差等问题，提出了一种新的标定模板及配套的标定算法。标定模板用十字网格代替经典的棋盘格，在强光照和强噪声环境下能够得到更精确的位置信息；标定时利用灰度加权求和的方法提取标定图像中心点，以该中心点为基准设置角点的匹配模板，通过计算相关程度确定其余角点坐标，并进一步确定精确坐标，最后利用 BP神经网络来隐性标定摄像机参数。实验结果表明，该方法在强光照、强噪声的环境下也能获得高精度的标定结果，满足精密测量系统的自动化标定应用。
위료해결고정도섭상궤표정과정중표정괴제작난도대、표정방법대실험설비요구고、실험결과조성로봉성차등문제，제출료일충신적표정모판급배투적표정산법。표정모판용십자망격대체경전적기반격，재강광조화강조성배경하능구득도경정학적위치신식；표정시이용회도가권구화적방법제취표정도상중심점，이해중심점위기준설치각점적필배모판，통과계산상관정도학정기여각점좌표，병진일보학정정학좌표，최후이용 BP신경망락래은성표정섭상궤삼수。실험결과표명，해방법재강광조、강조성적배경하야능획득고정도적표정결과，만족정밀측량계통적자동화표정응용。
In order to solve the problem of the difficulty of making calibration block,the high requirements on the experimen-tal equipment,the bad robustness against noise,this paper proposed a new calibration template and a calibration algorithm. The new template used cross grid instead of the classical checkerboard,thus got more accurate position information in strong light and noisy environment.This algorithm used the method for gray weighted summation to extract the center point of image, based on which the matching template was set.It determined the coordinates of other points by the related degree,and further determined precise coordinates.Finally,the method adopted BP neural network to calibrate camera parameters implicitly.The results indicate that the method can obtain precise calibration results even in strong light and noisy environment,which meets the requirement of automatic calibration applications in precision measurement system.