Fast and Accurate Registration of Visible and Infrared Videos

Socheat Sonn, Guillaume-Alexandre Bilodeau, Philippe Galinier; Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2013, pp. 308-313

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.

Related Material


[pdf]
[bibtex]
@InProceedings{Sonn_2013_CVPR_Workshops,
author = {Sonn, Socheat and Bilodeau, Guillaume-Alexandre and Galinier, Philippe},
title = {Fast and Accurate Registration of Visible and Infrared Videos},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2013}
}