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Rectifying rolling shutter video from hand-held devices

Per-Erik Forssén, Erik Ringaby
CVPR10, San Francisco, USA
IEEE Conference on Computer Vision and Pattern Recognition
June 2010


This paper presents a method for rectifying video sequences from rolling shutter (RS) cameras. In contrast to previous RS rectification attempts we model distortions as being caused by the 3D motion of the camera. The camera motion is parametrised as a continuous curve, with knots at the last row of each frame. Curve parameters are solved for using non-linear least squares over inter-frame correspondences obtained from a KLT tracker. We have generated synthetic RS sequences with associated ground-truth to allow controlled evaluation. Using these sequences, we demonstrate that our algorithm improves over to two previously published methods. The RS dataset is available on the web to allow comparison with other methods.

Full Paper

Portable document format file PDF ()
The paper introduces a dataset that can be found here.
Video on YouTube.

Bibtex entry

  author = 	 {Per-Erik Forss{\'e}n and Erik Ringaby},
  title = 	 {Rectifying rolling shutter video from hand-held devices},
  booktitle = {{IEEE} Conference on Computer Vision and Pattern Recognition},
  year = 	 {2010},
  address = 	 {San Francisco, USA},
  month = 	 {June},
  organization = {{IEEE} Computer Society},
  isbn =         {978-1-4244-7028-0},
  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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