Abstract

Videos captured from the air by flying devices like Unmanned Aerial Vehicles (UAVs) have great application prospects in many fields such as journalism, art, military and public security. Due to the difficulties such as vibration, needing for speed and high resolution and so on, it is non-trivial to apply traditional static image stitching algorithms to flying cameras. To this end, we propose a real-time video stitching system which is capable to stitch high definition (HD) videos captured by mobile aerial devices. In our work, we use scale invariant information to speed up the feature point extraction.

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