Non-Metric Image-Based Rendering for Video Stabilization
Abstract
We consider the problem of video stabilization: removing unwanted image perturbations due to unstable camera motions. We approach this problem from an image-based rendering (IBR) standpoint. Given an unstabilized video sequence, the task is to synthesize a new sequence as seen from a stabilized camera trajectory. This task is relatively straightforward if one has a Euclidean reconstruction of the unstabilized camera trajectory and a suitable IBR algorithm. However, it is often not feasible to obtain a Euclidean reconstruction from an arbitrary video sequence. In light of this problem, we describe IBR techniques for non-metric reconstructions, which are often much easier to obtain since they do not require camera calibration. These rendering techniques are well suited to the video stabilization problem. The key idea behind our techniques is that all measurements are specified in the image space, rather than in the non-metric space.
Cite
Text
Buehler et al. "Non-Metric Image-Based Rendering for Video Stabilization." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2001. doi:10.1109/CVPR.2001.991019Markdown
[Buehler et al. "Non-Metric Image-Based Rendering for Video Stabilization." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2001.](https://mlanthology.org/cvpr/2001/buehler2001cvpr-non/) doi:10.1109/CVPR.2001.991019BibTeX
@inproceedings{buehler2001cvpr-non,
title = {{Non-Metric Image-Based Rendering for Video Stabilization}},
author = {Buehler, Chris and Bosse, Michael and McMillan, Leonard},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
year = {2001},
pages = {II:609-614},
doi = {10.1109/CVPR.2001.991019},
url = {https://mlanthology.org/cvpr/2001/buehler2001cvpr-non/}
}