基于相机标定的跨相机场景拼接方法

针对单相机场景下的智能交通应用得到了较好的发展,但跨区域研究还处在起步阶段的问题,本文提出一种基于相机标定的跨相机场景拼接方法.首先,通过消失点标定分别建立两个相机场景中子世界坐标系下的物理信息到二维图像的映射关系;其次通过两个子世界坐标系间的公共信息来完成相机间的投影变换;最后,通过提出的逆投影思想和平移矢量关系来完成道路场景拼接.通过实验结果表明,该方法能够较好的实现道路场景拼接和跨区域道路物理测量,为相关实际应用研究奠定基础.

Multi-Camera Traffic Scene Mosaic Based on Camera Calibration

The intelligent traffic application under the single camera scene has been well developed, but the cross-regional research is still in its infancy. This study proposes a cross-camera scene stitching method based on camera calibration. Firstly, the mapping relationship between the physical information in the sub-world coordinate system and the two-dimensional image in the two camera scenes is established by vanishing point calibration. Secondly, the projection transformation between the cameras is completed by the common feature information between the two sub-world coordinate systems. The road scene stitching is completed by the proposed inverse projection idea and the translation vector relationship. The experimental results show that the proposed method can achieve road scene splicing and cross-region road physical measurement, which lays a foundation for relevant practical application research.