Fast and Accurate Registration of Visible and Infrared Videos
Abstract
In this work, we propose a novel fast and accurate method based on keypoints and temporal information to solve the registration problem on planar scenes with moving objects for infrared-visible stereo pairs. A keypoint descriptor and a temporal buffer (reservoir) filled with matched keypoints are used in order to find the homography transformation for the registration. Inside a given frame, the problem of registration is formulated as correspondences between noisy polygon vertices. Sections of polygons are matched locally to find the corresponding vertices inside a frame. These correspondences are then accumulated temporally using a reservoir of matches for homography calculation. Results show that our method outperforms two recent state-of-the-art global registration methods by a large margin in almost all tested videos.
Cite
Text
Sonn et al. "Fast and Accurate Registration of Visible and Infrared Videos." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2013. doi:10.1109/CVPRW.2013.53Markdown
[Sonn et al. "Fast and Accurate Registration of Visible and Infrared Videos." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2013.](https://mlanthology.org/cvprw/2013/sonn2013cvprw-fast/) doi:10.1109/CVPRW.2013.53BibTeX
@inproceedings{sonn2013cvprw-fast,
title = {{Fast and Accurate Registration of Visible and Infrared Videos}},
author = {Sonn, Socheat and Bilodeau, Guillaume-Alexandre and Galinier, Philippe},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops},
year = {2013},
pages = {308-313},
doi = {10.1109/CVPRW.2013.53},
url = {https://mlanthology.org/cvprw/2013/sonn2013cvprw-fast/}
}