P3P Made Easy
Not on the map. Why?
Abstract (arXiv)
We revisit the classical Perspective-Three-Point (P3P) problem, which aims to recover the absolute pose of a calibrated camera from three 2D-3D correspondences. It has long been known that P3P can be reduced to a quartic polynomial with analytically simple and computationally efficient coefficients. However, this elegant formulation has been largely overlooked in modern literature. Building on the theoretical foundation that traces back to Grunert's work in 1841, we propose a compact algebraic solver that achieves accuracy and runtime comparable to state-of-the-art methods. Our results show that this classical formulation remains highly competitive when implemented with modern insights, offering an excellent balance between simplicity, efficiency, and accuracy.
Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). Builds on 7 of its 27 references that are in the map. First posted on arXiv 2 Aug 2025.
Builds on
7 of 27 references.
References · 7
- 2018From Coarse to Fine: Robust Hierarchical Localization at Large Scalecited by 559
- 2020A Metric Learning Reality Checkcited by 321
- 2022KISS-ICP: In Defense of Point-to-Point ICP -- Simple, Accurate, and Robust Registration If Done the Right Waycited by 132
- 2017An Efficient Algebraic Solution to the Perspective-Three-Point Problemcited by 29
- 2019ROVO: Robust Omnidirectional Visual Odometry for Wide-baseline Wide-FOV Camera Systemscited by 10
- 2018Loosely-Coupled Semi-Direct Monocular SLAMcited by 8
- 2025A Conic Transformation Approach for Solving the Perspective-Three-Point Problemcited by 2
Built on by
Citing papers per year: 2026: 1.
1 paper.