The structure from motion (SfM) problem in computer vision is to recover the three-
dimensional (3D) structure of a stationary scene from a set of projective measurements …

We consider the visual disambiguation task of determining whether a pair of visually similar
images depict the same or distinct 3D surfaces (eg, the same or opposite sides of a …

We present a simple, effective method for solving structure from motion problems by
averaging epipolar geometries. Based on recent successes in solving for global camera …

Abstract Global Structure-from-Motion (SfM) techniques have demonstrated superior
efficiency and accuracy than the conventional incremental approach in many recent studies …

Global structure-from-motion (SfM) methods solve all cameras simultaneously from all
available relative motions. It has better potential in both reconstruction accuracy and …

We present a linear method for global camera pose registration from pairwise relative poses
encoded in essential matrices. Our method minimizes an approximate geometric error to …

Pairwise image matching of unordered image collections greatly affects the efficiency and
accuracy of Structure-from-Motion (SfM). Insufficient match pairs may result in disconnected …

This paper presents an end-to-end neural network for multiple rotation averaging in SfM.
Due to the manifold constraint of rotations, conventional methods usually take two separate …

Repeated features are common in urban scenes. Many objects, such as clock towers with
nearly identical sides, or domes with strong radial symmetries, pose challenges for structure …

This paper derives a novel linear position constraint for cameras seeing a common scene
point, which leads to a direct linear method for global camera translation estimation. Unlike …