针对多投影仪显示墙画面校正问题中相机与投影仪间图像对准问题，提出一种基于自适应细分网格的稀疏对应点加密方法，可以得到任意光滑屏幕上投影图像与相机图像间的像素级对应关系。该方法利用改进的自适应4点插值细分曲线思想构造细分网格方法，可以将投影仪图像与相机图像间稀疏对应点网格加密到任意精度，从而建立从相机到投影仪图像间的像素级一一映射关系，为多投影仪显示墙系统的几何和色彩校正提供精确的图像对准基础。与现有算法的对比分析和虚拟机场塔台仿真系统中的实际应用表明，该方法具有较高的图像对准精度，并且无显式的需求投影仪、投影屏幕和相机的内部参数。

A practical image alignment method based on self-adapting subdivision mesh is proposed, which can align the projector imagery on arbitrary smooth curved screen with camera image. It is designed for calibration problem of multi-projector displays. Using sparse initial corresponding points between the frame buffer of projector and the image of camera, the proposed method can subdivide it into arbitrary precision. Hence, the one to one correspondence of pixels between the frame buffer of projector and image of camera can be established. This correspondence can be used as the foundation of methods for the calibration problem of multi-projector displays. Comparative analysis of existing algorithms and real applications on virtual airport control tower simulation system show that the proposed method can align images more accurately, without any explicit prior knowledge of projector, camera and screen.