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 …

In 3D computer vision, translation averaging solves for absolute translations given a set of
pairwise relative translation directions. While there has been much work on robustness to …

Reconstructing the 3D model of a physical object typically requires us to align the depth
scans obtained from different camera poses into the same coordinate system. Solutions to …

This paper deals with the synchronization problem, which arises in multiple 3D point-set
registration and in structure-from-motion. The problem is formulated as a low-rank and …

In this paper we survey and put in a common framework several works that have been
developed in different contexts, all dealing with the same abstract problem, called …

Abstract We introduce Tempered Geodesic Markov Chain Monte Carlo (TG-MCMC)
algorithm for initializing pose graph optimization problems, arising in various scenarios such …

Pose synchronization, which seeks to estimate consistent absolute poses among a
collection of objects from noisy relative poses estimated between pairs of objects in …

This paper provides a unifying view and offers new insights on bearing-based network
localizability, that is the problem of establishing whether a set of directions between pairs of …

A recent trend in optimizing maps such as dense correspondences between objects or
neural networks between pairs of domains is to optimize them jointly. In this context, there is …

Over the last few decades, the methods of global image orientation, which is also called
global SfM, have attracted a lot of attention from researchers, mainly thanks to its advantage …