@inproceedings{33ee5be70b6045e49fe020fda3e1c22a,
title = "Separable four points fundamental matrix",
abstract = "We present a novel approach for RANSAC-based computation of the fundamental matrix based on epipolar homography decomposition. We analyze the geometrical meaning of the decomposition-based representation and show that it directly induces a consecutive sampling strategy of two independent sets of correspondences. We show that our method guarantees a minimal number of evaluated hypotheses with respect to current minimal approaches, on the condition that there are four correspondences on an image line. We validate our approach on real-world image pairs, providing fast and accurate results.",
author = "Gil Ben-Artzi",
note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 2021 IEEE Winter Conference on Applications of Computer Vision, WACV 2021 ; Conference date: 05-01-2021 Through 09-01-2021",
year = "2021",
month = jan,
doi = "10.1109/WACV48630.2021.00023",
language = "الإنجليزيّة",
series = "Proceedings - 2021 IEEE Winter Conference on Applications of Computer Vision, WACV 2021",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "188--196",
booktitle = "Proceedings - 2021 IEEE Winter Conference on Applications of Computer Vision, WACV 2021",
address = "الولايات المتّحدة",
}