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A Virtual Tripod for Hand-held Video Stacking on Smartphones

Erik Ringaby, Per-Erik Forssén
IEEE International Conference on Computational Photography (ICCP)
May 2014


We propose an algorithm that can capture sharp, low-noise images in low-light conditions on a hand-held smartphone. We make use of the recent ability to acquire bursts of high resolution images on high-end models such as the iPhone5s. Frames are aligned, or stacked, using rolling shutter correction, based on motion estimated from the built-in gyro sensors and image feature tracking. After stacking, the images may be combined, using e.g. averaging to produce a sharp, low-noise photo. We have tested the algorithm on a variety of different scenes, using several different smartphones. We compare our method to denoising, direct stacking, as well as a global-shutter based stacking, with favourable results.

Full Paper

Portable document format file PDF ()
Link to dataset.

Bibtex entry

  author = 	 {Erik Ringaby and Per-Erik Forss\'en},
  title = 	 {A Virtual Tripod for Hand-held Video Stacking on Smartphones},
  booktitle =    {{IEEE} International Conference on Computational Photography ({ICCP})},
  year = 	 {2014},
  month = 	 {May},
  organization = {{IEEE}},
  publisher =    {{IEEE}}

Per-Erik Forssén

Per-Erik Forssén


Computer Vision Laboratory
Department of Electrical Engineering
Building B
Room 2D:521
SE-581 83 Linköping, Sweden
+46(0)13 285654

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Senast uppdaterad: 2023-09-06