3 papers
cs.CV2026
Non-Minimal Sampling and Consensus for Prohibitively Large Datasets
Seong Hun Lee, Patrick Vandewalle, Javier Civera
We introduce NONSAC (Non-Minimal Sampling and Consensus), a general framework for robust and scalable model estimation from arbitrarily large datasets contaminated with noise and o…
cs.CV2026
P3P Made Easy
Seong Hun Lee, Patrick Vandewalle, Javier Civera
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 kn…
cs.RO2026
An Efficient Closed-Form Solution to Full Visual-Inertial State Initialization
Samuel Cerezo, Seong Hun Lee, Javier Civera
In this letter, we present a closed-form initialization method that recovers the full visual-inertial state without nonlinear optimization. Unlike previous approaches that rely on…