针对传统全景拼接算法拼接精度低、拼接图像接缝明显的问题, 提出一种基于空间映射图像全景拼接算法。首先, 测量每台相机输出图像畸变中心和镜头畸变参数, 对图像进行畸变校正处理, 获取指定视场大小的无畸变图像; 再根据相邻相机重叠视场区域相似性计算得到每台相机的实际安装位置, 并对畸变后图像进行亮度一致性处理和边界融合处理, 增强拼接图像的整体性和消除拼接接缝; 最后, 根据相机实际安装位置、图像视场大小和图像分辨率, 通过计算图像拼接表获得拼接图像, 得到拼接图像。实验结果表明, 文中算法拼接精度高且拼接图像无缝平滑。

Space-mapping based image panorama stitching algorithm is proposed to solve the problems that the results of the traditional image panorama stitching algorithms have low accuracy and obvious seams. At first, the image distortion center and lens distortion parameters from each camera are measured, and the ideal image with specified size of field of view is obtained by image distortion correction processing. And then, the actual installation location of each camera is calculated by using the similarity of overlapping field region of view of the adjacent cameras. The accuracy of image stitching is improved and image stitching seams is removed using brightness uniformity processing and boundary fusion methods. At last, according to actual installation location of each camera, the field of view and image resolution, panorama image is obtained by calculating image stitching table. Experimental results show that the algorithm has high stitching accuracy and the stitching images are seamless and smooth.