Feedback stitching for gigapixel video

Methods of stitching static panoramas are unsuitable for video-rate stitching from camera arrays, because these methods are too computationally intensive for real-time operation and do not take advantage of prior knowledge of camera positions or the coherence between successive frames of a video sequence. We propose feedback stitching, which embeds the stitching process in a feedback loop, so that as new frames are captured, any new stitching errors occurring in the video sequence are analyzed and corrected as the sequence progresses. These algorithms are suitable for multiscale cameras, a camera array technology proven to be capable of gigapixel snapshot and video imaging, to allow for real-time compensation of any registration or parallax errors.

Duke Scholars

Author David J. Brady Electrical and Computer Engineering