Abstract

Panoramic image registration is the core content of virtual three-dimensional system based on images. According to the shortage of fisheye images registration using the traditional image registration method, this paper put forward strategy of panoramic image registration, which was divided into three steps: project the fisheye images on the sphere, extract and match the feature points, transform the coordinates of panoramic images. The focus was improving the SIFT algorithm and RANSAC algorithm for image feature exaction and matching, whose target was to meet the demand of the fish-eye image registration. Finally, experiments were designed to verify the effectiveness of supposed algorithm and fisheye image registration, and the future direction of panoramic images registration was also pointed out.

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