Quasi-orthorectified panorama generation based on affine model from terrain UAV images

Abstract

In this paper we present a new panorama generation method based on affine model. The images used for panorama generation are captured by an Unmanned Aerial Vehicle (UAV). We focus our research on terrain data, which contains few high buildings. In our method a Best- First Affine Model is used to generate panorama, with the affine parameters solved by a locally optimized RANSAC. The process of our image stitching method is fully automatic. Compared with existing methods, the panorama generated by ours is a quasi-orthorectified one and free from visible distortions.