Department of Electrical
and Computer Engineering,
The University of Texas at Austin,
Austin, TX 78712 USA
firstname.lastname@example.org - email@example.com
Paper - Poster - Slides - Software - Project Site
Images: Fig 1a Distortion - Fig 1b Correction - Fig 9a Distortion - Fig 9b Correction
Paper won IEEE MMSP Top 10% Paper Award
Guitar Oscillations Captured with iPhone 4 showing rolling shutter artifacts
In the third video example, we compare the results of video stabilization with and without rolling shutter artifact rectification. The rolling shutter artifacts in this example is caused by jitter of a walking man's hands. Original video is on the top. Bottom left is the stabilized video without rolling shutter artifact rectification, and bottom right is the stabilized video with rolling shutter artifact rectification.
In Matlab, I used SIFT matching with VLFeat. You can find it in our 'sift_track' function in the released software mentioned above. The SIFT feature is robust but a little bit slow. You can also try BRISK or ORB. Both of them can be found in OpenCV. Please check this repo if you need a wrapper for Matlab:
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Slides on Early Ideas for Rolling Shutter Artifact Reduction (March 7, 2012)
Last Updated 06/24/15.