Abstract
In this paper, we propose a multi-camera video stitching method based on an improved optimal stitch line and multi-resolution for real-time application. First, phase correlation is used to estimate overlapping fields between multiple videos, where SURF feature points are extracted for image registration to save computation time and improve the matching accuracy. Then, a fusion algorithm combining the improved optimal stitch line and multi-resolution algorithms is devised to improve visual effects by eliminating ghosting and any visible seams. In the fusion stage, GPU acceleration is employed to speed up the video stitching. Experiments show that the proposed algorithm has better and real-time performance compared with traditional video stitching methods.
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