Calibration of wide field-of-view cameras is a fundamental step for numerous visual media
production applications, such as 3D reconstruction, image undistortion, augmented reality …

Manhattan and Atlanta worlds hold for the structured scenes with only vertical and horizontal
dominant directions (DDs). To describe the scenes with additional slo** DDs, a mixture of …

From a single image, visual cues can help deduce intrinsic and extrinsic camera parameters
like the focal length and the gravity direction. This single-image calibration can benefit …

Vision-based mobile robot navigation is a vibrant area of research with numerous algorithms
having been developed, the vast majority of which either belong to the scene-oriented …

The projections of world parallel lines in an image intersect at a single point called the
vanishing point (VP). VPs are a key ingredient for various vision tasks including rotation …

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 …

A wide range of robotic systems needs to estimate their rotation for diverse tasks like
automatic control and stabilization, among many others. In regards of the limitations of …

In this paper, we explore the different minimal solutions for egomotion estimation of a
camera based on homography knowing the gravity vector between calibrated images …

A popular approach to detect outliers in a data set is to find the largest consensus set, that is
to say maximizing the number of inliers and estimating the underlying model. RANSAC is …

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 …