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Rectifying rolling shutter video from hand-held devices
Linköping University, Department of Electrical Engineering, Computer Vision. Linköping University, The Institute of Technology.
Linköping University, Department of Electrical Engineering, Computer Vision. Linköping University, The Institute of Technology.ORCID iD: 0000-0002-5698-5983
2011 (English)In: Proceedings SSBA´11 Symposium on Image Analysis, 2011Conference paper, Published paper (Other academic)
Abstract [en]

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 two previously published methods. The RS dataset is available on the web to allow comparison with other methods.

Place, publisher, year, edition, pages
2011.
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:liu:diva-70707OAI: oai:DiVA.org:liu-70707DiVA: diva2:441252
Conference
SSBA´11 Symposium on Image Analysis, Linköping, 17-18 mars 2011
Available from: 2011-09-15 Created: 2011-09-15 Last updated: 2015-12-10Bibliographically approved

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Ringaby, ErikForssén, Per-Erik

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Citation style
  • apa
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