3 citations · 5 across the 6 of their papers we have counts for
12 papers · 1 filter
Relative Pose from SIFT Features
Daniel Barath, Zuzana Kukelova
This paper proposes the geometric relationship of epipolar geometry and orientation- and scale-covariant, e.g., SIFT, features. We derive a new linear constraint relating the unkno…
Calibrated and Partially Calibrated Semi-Generalized Homographies
Snehal Bhayani, Torsten Sattler, Daniel Barath +3
In this paper, we propose the first minimal solutions for estimating the semi-generalized homography given a perspective and a generalized camera. The proposed solvers use five 2D-…
Minimal Solutions for Panoramic Stitching Given Gravity Prior
Yaqing Ding, Daniel Barath, Zuzana Kukelova
When capturing panoramas, people tend to align their cameras with the vertical axis, i.e., the direction of gravity. Moreover, modern devices, such as smartphones and tablets, are…
Globally Optimal Relative Pose Estimation with Gravity Prior
Yaqing Ding, Daniel Barath, Jian Yang +2
Smartphones, tablets and camera systems used, e.g., in cars and UAVs, are typically equipped with IMUs (inertial measurement units) that can measure the gravity vector accurately.…
Pose Estimation for Vehicle-mounted Cameras via Horizontal and Vertical Planes
Istan Gergo Gal, Daniel Barath, Levente Hajder
We propose two novel solvers for estimating the egomotion of a calibrated camera mounted to a moving vehicle from a single affine correspondence via recovering special homographies…
Making Affine Correspondences Work in Camera Geometry Computation
Daniel Barath, Michal Polic, Wolfgang Förstner +3
Local features e.g. 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 min…