Learning Correspondence Uncertainty via Differentiable Nonlinear Least Squares

Dominik Muhle, Lukas Koestler, Krishna Murthy Jatavallabhula +1

We propose a differentiable nonlinear least squares framework to account for uncertainty in relative pose estimation from feature correspondences. Specifically, we introduce a symm…