3 citations · 5 across the 12 of their papers we have counts for
17 papers
Rolling Shutter Relative Pose Estimation Made Practical
Daniel Barath
Rolling shutter (RS) cameras equip virtually all consumer devices, yet RS-aware relative pose estimation has remained impractical: the state-of-the-art solver requires a minimum of…
Learning Affine Correspondences by Integrating Geometric Constraints
Pengju Sun, Banglei Guan, Zhenbao Yu +3
Affine correspondences have received significant attention due to their benefits in tasks like image matching and pose estimation. Existing methods for extracting affine correspond…
Practical solutions to the relative pose of three calibrated cameras
Charalambos Tzamos, Viktor Kocur, Yaqing Ding +4
We study the challenging problem of estimating the relative pose of three calibrated cameras from four point correspondences. We propose novel efficient solutions to this problem t…
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.…
P1AC: Revisiting Absolute Pose From a Single Affine Correspondence
Jonathan Ventura, Zuzana Kukelova, Torsten Sattler +1
Affine correspondences have traditionally been used to improve feature matching over wide baselines. While recent work has successfully used affine correspondences to solve various…
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…
Minimal Cases for Computing the Generalized Relative Pose using Affine Correspondences
Banglei Guan, Ji Zhao, Daniel Barath +1
We propose three novel solvers for estimating the relative pose of a multi-camera system from affine correspondences (ACs). A new constraint is derived interpreting the relationshi…
Relative planar motion for vehicle-mounted cameras from a single affine correspondence
Levente Hajder, Daniel Barath
Two solvers are proposed for estimating the extrinsic camera parameters from a single affine correspondence assuming general planar motion. In this case, the camera movement is con…
Least-squares Optimal Relative Planar Motion for Vehicle-mounted Cameras
Levente Hajder, Daniel Barath
A new closed-form solver is proposed minimizing the algebraic error optimally, in the least-squares sense, to estimate the relative planar motion of two calibrated cameras. The mai…
Homography from two orientation- and scale-covariant features
Daniel Barath, Zuzana Kukelova
This paper proposes a geometric interpretation of the angles and scales which the orientation- and scale-covariant feature detectors, e.g. SIFT, provide. Two new general constraint…
Recovering affine features from orientation- and scale-invariant ones
Daniel Barath
An approach is proposed for recovering affine correspondences (ACs) from orientation- and scale-invariant, e.g. SIFT, features. The method calculates the affine parameters consiste…
Five-point Fundamental Matrix Estimation for Uncalibrated Cameras
Daniel Barath
We aim at estimating the fundamental matrix in two views from five correspondences of rotation invariant features obtained by e.g.\ the SIFT detector. The proposed minimal solver f…
A Minimal Solution for Two-view Focal-length Estimation using Two Affine Correspondences
Daniel Barath, Tekla Toth, Levente Hajder
A minimal solution using two affine correspondences is presented to estimate the common focal length and the fundamental matrix between two semi-calibrated cameras - known intrinsi…