We present a novel 2-point method for estimating the relative pose of a camera undergoing
planar motion from 3D data (eg from a calibrated stereo setup or an RGB-D sensor). Unlike …

Feature-based and holistic methods present two fundamentally different approaches to
relative-pose estimation from pairs of camera images. Until now, there has been a lack of …

Holistic local visual homing based on warping of panoramic images relies on some
simplifying assumptions about the images and the environment to make the problem more …

Poses of a movable camera relative to an environment are obtained by determining point
correspondences from a set of initial images and then applying 2-point motion estimation to …

Modern vehicles are often equipped with a surround-view multi-camera system. The current
interest in autonomous driving invites the investigation of how to use such systems for a …

More and more on-road vehicles are equipped with cameras each day. This paper presents
a novel method for estimating the relative motion of a vehicle from a sequence of images …

Fundamental matrix estimation from point correspondences is a basic problem in computer
vision and robotics. It is applicable in many areas, such as visual servoing (visionbased …

For any visual feature‐based SLAM (simultaneous localization and mapping) solutions, to
estimate the relative camera motion between two images, it is necessary to find “correct” …

SLAM (Simultaneous Localization And Mapping) is an essential element for modern robotic
systems. In recent years, Lidar-based SLAM solutions are already proved to be promising in …

An obstacle for users engaged in data analysis task is determining the most useful way to
visually represent their particular datasets. For users with little background in data analytics …