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Found 6 papers, 2 papers with code
Handbook on Leveraging Lines for Two-View Relative Pose Estimation
We propose an approach for estimating the relative pose between calibrated image pairs by jointly exploiting points, lines, and their coincidences in a hybrid manner.
Vanishing Point Estimation in Uncalibrated Images with Prior Gravity Direction
We tackle the problem of estimating a Manhattan frame, i. e. three orthogonal vanishing points, and the unknown focal length of the camera, leveraging a prior vertical direction.
AffineGlue: Joint Matching and Robust Estimation
Moreover, we derive a new minimal solver for homography estimation, requiring only a single affine correspondence (AC) and a gravity prior.
Four-View Geometry With Unknown Radial Distortion
The minimal case for reconstruction requires 13 points in 4 views for both the calibrated and uncalibrated cameras.
Learning to Solve Hard Minimal Problems
The hard minimal problems arise from relaxing the original geometric optimization problem into a minimal problem with many spurious solutions.
Reconstructing Small 3D Objects in front of a Textured Background
It is a particular variation of multibody structure from motion, which specializes to two objects only.
