RIGOR: Rig-Informed Geometry for Omnidirectional Reconstruction
RIGOR reconstructs gravity-aligned omnidirectional videos by treating each panorama as a four-view virtual rig. It uses known view orientations as geometric constraints to detect and repair inconsistencies in pose predictions during sequential reconstruction. This method improves loop closure accuracy through cyclic four-view consensus and global optimization, leading to superior trajectory and geometry accuracy.