Feedback stitching for gigapixel video

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

Research output: Contribution to journalArticlepeer-review

2 Scopus citations


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.

Original languageEnglish (US)
Article number063006
JournalJournal of Electronic Imaging
Issue number6
StatePublished - Nov 1 2015
Externally publishedYes


  • Image analysis
  • image enhancement
  • image processing
  • image reconstruction techniques
  • multicamera arrays

ASJC Scopus subject areas

  • Atomic and Molecular Physics, and Optics
  • Computer Science Applications
  • Electrical and Electronic Engineering


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