Virtual reality, augmented reality, robotics, and autonomous driving, have recently attracted
much attention from both academic and industrial communities, in which image-based …

In this survey article, we present interactions between algebraic geometry and computer
vision, which have recently come under the header of algebraic vision. The subject has …

We present an approach to solving hard geometric optimization problems in the RANSAC
framework. The hard minimal problems arise from relaxing the original geometric …

The basis for most vision based applications like robotics, self-driving cars and potentially
augmented and virtual reality is a robust, continuous estimation of the position and …

Bundle adjustment plays a vital role in feature-based monocular SLAM. In many modern
SLAM pipelines, bundle adjustment is performed to estimate the 6DOF camera trajectory …

Many computer vision applications require robust estimation of the underlying geometry, in
terms of camera motion and 3D structure of the scene. These robust methods often rely on …

We propose three novel solvers for estimating the relative pose of a multi-camera system
from affine correspondences (ACs). A new constraint is derived interpreting the relationship …

We present novel solutions to previously unsolved problems of relative pose estimation from
images whose calibration parameters, namely focal lengths and radial distortion, are …

This paper studies the relative pose problem for autonomous vehicles driving in highly
dynamic and possibly cluttered environments. This is a challenging scenario due to the …

The recent success in revealing scene details from sparse 3D point clouds obtained via
structure-from-motion has raised significant privacy concerns in visual localization. One …