D Barath, Z Kukelova - Proceedings of the IEEE/CVF …, 2019 - openaccess.thecvf.com
This paper proposes a geometric interpretation of the angles and scales which the orientation-and scale-covariant feature detectors, eg SIFT, provide. Two new general …
Local features eg. SIFT and its affine and learned variants provide region-to-region rather than point-to-point correspondences. This has recently been exploited to create new …
D Barath - Proceedings of the IEEE Conference on …, 2018 - openaccess.thecvf.com
We aim at estimating the fundamental matrix in two views from five correspondences of rotation invariant features obtained by eg the SIFT detector. The proposed minimal solver …
Two-view homography estimation is a classic and fundamental problem in computer vision. While conceptually simple the problem quickly becomes challenging when multiple planes …
D Barath - International Journal of Computer Vision, 2023 - Springer
An approach is proposed for recovering affine correspondences (ACs) from orientation-and scale-covariant, eg, SIFT, features exploiting pre-estimated epipolar geometry. The method …
D Barath, Z Kukelova - European Conference on Computer Vision, 2022 - Springer
This paper derives the geometric relationship of epipolar geometry and orientation-and scale-covariant, eg, SIFT, features. We derive a new linear constraint relating the unknown …
D Barath, D Mishkin, L Cavalli, PE Sarlin… - arXiv preprint arXiv …, 2023 - arxiv.org
We propose AffineGlue, a method for joint two-view feature matching and robust estimation that reduces the combinatorial complexity of the problem by employing single-point minimal …
We propose StereoGlue, a method designed for joint feature matching and robust estimation that effectively reduces the combinatorial complexity of these tasks using single-point …
We present a new solver for estimating a surface normal from a single affine correspondence in two calibrated views. The proposed approach provides a new globally …