Do visual tasks have a relationship, or are they unrelated? For instance, could having
surface normals simplify estimating the depth of an image? Intuition answers these …

In contrast to sparse keypoints, a handful of line segments can concisely encode the high-
level scene layout, as they often delineate the main structural elements. In addition to …

One of the main and most effective measures to contain the recent viral outbreak is the
maintenance of the so-called Social Distancing (SD). To comply with this constraint …

This paper presents a new implementation method for efficient simultaneous localization
and mapping using a forward-viewing monocular vision sensor. The method is developed to …

In this paper we deal with the camera pose estimation problem from a set of 2D/3D line
correspondences, which is also known as PnL (Perspective-n-Line) problem. We carry out …

Omnidirectional images and videos are widespread due to the popularization of devices for
capturing and visualization. Unlike pinhole-based imagery, omnidirectional media lie on the …

In this work, we address the problem of estimating the so-called" Social Distancing" given a
single uncalibrated image in unconstrained scenarios. Our approach proposes a semi …

This article presents an autonomous navigation approach based on a transmission tower for
unmanned aerial vehicle (UAV) power line inspection. For this complex vision task, a …

This paper presents a very simple and efficient algorithm to estimate 1, 2 or 3 orthogonal
vanishing point (s) on a calibrated image in Manhattan world. Unlike the traditional methods …

We tackle the problem of estimating a Manhattan frame, ie three orthogonal vanishing
points, and the unknown focal length of the camera, leveraging a prior vertical direction. The …