A Minimal Solver for Relative Pose Estimation with Unknown Focal Length from Two Affine Correspondences
Published:Dec 28, 2025 08:18
•1 min read
•ArXiv
Analysis
This article likely presents a novel algorithm or method for solving a specific problem in computer vision, specifically relative pose estimation. The focus is on scenarios where the focal length of the camera is unknown and only two affine correspondences are available. The term "minimal solver" suggests an attempt to find the most efficient solution, possibly with implications for computational cost and accuracy. The source, ArXiv, indicates this is a pre-print or research paper.
Key Takeaways
Reference
“The title itself provides the core information: the problem (relative pose estimation), the constraints (unknown focal length, two affine correspondences), and the approach (minimal solver).”