激光点云与全景影像配准方法研究

摘要

针对全景成像系统获取的全景影像的内外方位元素未知的问题,充分利用激光点云的可量测优势和全景影像的 360°视场角浏览查看优点,提出并实现了一种基于点特征的激光点云和全景影像的配准算法.该算法只需在激光点云和全景影像上各提取少量同名特征点便可进行配准.试验表明,算法能够很好地实现全景影像与激光点云的完美配准.%It brings forward a method combined laser point cloud and spherical panoramas to achieve continuous registration and measurement based on taking full advantage of the benefits of measurable laser point cloud and 360°browsing of panoramic images.Particularly for unknown internal and external elements of panoramic images problem solving.The method only needs a few homologue points from laser point cloud and panoramic images to register.The experiment shows that this method can realize registration perfectly.