Excellent Papers for 2012 awarded by Google Research

Our paper

• M. Grundmann, V. Kwatra, Daniel Castro, and I. Essa (2012), “Calibration-Free Rolling Shutter Removal,” in IEEE Conference on Computational Photography (ICCP), 2012. (Best Paper Award) [PDF] [WEBSITE] [VIDEO] [DOI] [BIBTEX]

  @InProceedings{ 2012-Grundmann-CRSR,
  author  = {Matthias Grundmann and Vivek Kwatra and Daniel
  Castro and Irfan Essa},
  awards  = {(Best Paper Award)},
  booktitle  = {{IEEE Conference on Computational Photography
  (ICCP)}},
  doi = {10.1109/ICCPhot.2012.6215213},
  pdf = {http://www.cc.gatech.edu/~irfan/p/2012-Grundmann-CRSR.pdf},
  publisher  = {IEEE Computer Society},
  title = {Calibration-Free Rolling Shutter Removal},
  url = {http://www.cc.gatech.edu/cpl/projects/rollingshutter/},
  video = {http://www.youtube.com/watch?v=_Pr_fpbAok8},
  year = {2012}
  }

was listed as the “Excellent Paper” by Google Research for 2012

We honor the influential papers authored or co-authored by Googlers covering all of 2012 — covering roughly 6% of our total publications.  It’s tough choosing, so we may have left out some important papers.  So, do see the publications list to review the complete group.

…

Calibration-Free Rolling Shutter Removal
Matthias Grundmann*, Vivek Kwatra*, Daniel Castro, Irfan Essa*, International Conference on Computational Photography ’12. Best paper.
Mobile phones and current generation DSLR’s, contain an electronic rolling shutter, capturing each frame one row of pixels at a time. Consequently, if the camera moves during capture, it will cause image distortions ranging from shear to wobbly distortions. We propose a calibration-free solution based on a novel parametric mixture model to correct these rolling shutter distortions in videos that enables real-time rolling shutter rectification as part of YouTube’s video stabilizer.

via Google AI Blog: Excellent Papers for 2012