ML Anthology

Generating Sharp Panoramas from Motion-Blurred Videos

Yunpeng Li, Sing Bing Kang, Neel Joshi, Steven M. Seitz, Daniel P. Huttenlocher
CVPR 2010 pp. 2424-2431
doi:10.1109/CVPR.2010.5539938 /cvpr/2010/li2010cvpr-generating/

Abstract

In this paper, we show how to generate a sharp panorama from a set of motion-blurred video frames. Our technique is based on joint global motion estimation and multi-frame deblurring. It also automatically computes the duty cycle of the video, namely the percentage of time between frames that is actually exposure time. The duty cycle is necessary for allowing the blur kernels to be accurately extracted and then removed. We demonstrate our technique on a number of videos.

PDF CVPR Semantic Scholar

Cite

Text

Li et al. "Generating Sharp Panoramas from Motion-Blurred Videos." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2010. doi:10.1109/CVPR.2010.5539938

Markdown

[Li et al. "Generating Sharp Panoramas from Motion-Blurred Videos." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2010.](https://mlanthology.org/cvpr/2010/li2010cvpr-generating/) doi:10.1109/CVPR.2010.5539938

BibTeX

@inproceedings{li2010cvpr-generating,
  title     = {{Generating Sharp Panoramas from Motion-Blurred Videos}},
  author    = {Li, Yunpeng and Kang, Sing Bing and Joshi, Neel and Seitz, Steven M. and Huttenlocher, Daniel P.},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {2010},
  pages     = {2424-2431},
  doi       = {10.1109/CVPR.2010.5539938},
  url       = {https://mlanthology.org/cvpr/2010/li2010cvpr-generating/}
}