针对投影仪-摄像机系统参数标定过程中角点识别精度低、抗噪性差的问题,提出一种新型的投影彩色模式特征图像和角点亚像素检测算法以提高角点检测识别精度。鉴于投影仪-摄像机在光子信号传输过程中会因系统通道耦合性导致光子信号损耗,特进行建模分析,并提出一种系统耦合性校正方案,以降低系统耦合性串扰的影响。在系统标定参数解算过程中,投影特征点会因外界因素的干扰而与摄像机反馈的特征信息匹配错误率高,从而导致投影仪的标定参数误差值较大,考虑到投影仪-摄像机具有对极几何约束关系,提出一种成像反馈式的射影几何约束优化方法,用于对系统参数优化标定。通过实验分析可知,本文方法识别精度能够到达0.25 pixel,同时具有较高的面平行度和线垂直度。投影画面的几何畸变校正实验显示,畸变校正效果基本符合人眼视觉感知一致性。

In the process of the parameter calibration of projector camera system, the recognition accuracy of corner is low and the noise immunity is poor. To solve the above problems, a new projection color pattern feature image and a sub-pixel corner detection algorithm are introduced to increase the accuracy of corner detection and recognition. In the process of photon signal transmission, the projector-camera can cause photon signal loss due to the coupling of system channel, therefore, the system coupling is modeled and analyzed. And a system coupling correction scheme is proposed, which effectively reduces the system coupling crosstalk. In the process of calculating the system calibration parameters, due to the interference of external factors, the error of the calibration parameters of the projector is large. Considering that the projector camera has epipolar geometry constraint relationship, a projective geometry constrained optimization method based on imaging feedback is proposed to optimize the system parameters. The experimental results show that this method can achieve 0.25 pixel accuracy. Meanwhile, it has high plane parallelism and linear verticality. Projection distortion correction experiments show that the distortion correction effect of projection screen basically accords with human visual viewing consistency.