Feedback stitching for gigapixel video

Daniel L. Marks; Lauren M. Bange; David J. Brady

doi:10.1117/1.JEI.24.6.063006

23 November 2015 Feedback stitching for gigapixel video

Daniel L. Marks, Lauren M. Bange, David J. Brady

Author Affiliations +

Journal of Electronic Imaging, Vol. 24, Issue 6, 063006 (November 2015). https://doi.org/10.1117/1.JEI.24.6.063006

Abstract

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.

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Daniel L. Marks, Lauren M. Bange, and David J. Brady "Feedback stitching for gigapixel video," Journal of Electronic Imaging 24(6), 063006 (23 November 2015). https://doi.org/10.1117/1.JEI.24.6.063006

Published: 23 November 2015

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