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Zhenbao Yu

5 accepted papers

2026

A Minimal Solver for Relative Pose Estimation With Unknown Focal Length From Two Affine Correspondences

RA-L 2026

In this paper, we aim to estimate the relative pose and focal length between two views with known intrinsic parameters except for an unknown focal length from two affine correspondences (ACs). Cameras are commonly used in combination with inertial measurement units (IMUs) in applications such as sel

Cited by 0SourceScholar
2026

Efficient Minimal Solvers for Visual-Inertial Relative Pose Estimation in Multi-Camera Systems

ICRA 2026poster

Estimating the relative poses of multi-camera systems is a fundamental problem in computer vision, with critical applications in autonomous vehicles, mobile devices, and unmanned aerial vehicles (UAVs). However, existing solutions often suffer from high computational complexity or rely on an excessi…

2025

Learning Affine Correspondences by Integrating Geometric Constraints

CVPR 2025poster

Affine correspondences have received significant attention due to their benefits in tasks like image matching and pose estimation. Existing methods for extracting affine correspondences still have many limitations in terms of performance; thus, exploring a new paradigm is crucial. In this paper, we…

2025

Trifocal Tensor and Relative Pose Estimation With Known Vertical Direction

RA-L 2025

This work presents two novel solvers for estimating the relative poses among views with known vertical directions. The vertical directions of camera views can be easily obtained using inertial measurement units (IMUs) which have been widely used in autonomous vehicles, mobile phones, and autonomous

Cited by 4SourceScholar
2024

Camera Calibration using a Collimator System

ECCV 2024oral

"Camera calibration is a crucial step in photogrammetry and 3D vision applications. In practical scenarios with a long working distance to cover a wide area, target-based calibration methods become complicated and inflexible due to site limitations. This paper introduces a novel camera calibration m…