Two images of a single scene/object are related by the epipolar geometry, which can be
described by a 3× 3 singular matrix called the essential matrix if images' internal parameters …

Almost all problems in computer vision are related in one form or another to the problem of
estimating parameters from noisy data. In this tutorial, we present what is probably the most …

Vehicle and pedestrian detection is one of the critical tasks in autonomous driving. Since
heterogeneous techniques have been proposed, the selection of a detection system with an …

We address the problem of finding reliable dense correspondences between a pair of
images. This is a challenging task due to strong appearance differences between the …

Visual SLAM (simultaneous localization and mapping) refers to the problem of using
images, as the only source of external information, in order to establish the position of a …

In this work we target the problem of estimating accurately localized correspondences
between a pair of images. We adopt the recent Neighbourhood Consensus Networks that …

A computational problem that arises frequently in computer vision is that of estimating the
parameters of a model from data that have been contaminated by noise and outliers. More …

Humans perceive the three-dimensional structure of the world with apparent ease. However,
despite all of the recent advances in computer vision research, the dream of having a …

An object recognition system has been developed that uses a new class of local image
features. The features are invariant to image scaling, translation, and rotation, and partially …

This paper presents a method for extracting distinctive invariant features from images that
can be used to perform reliable matching between different views of an object or scene. The …