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 …

We are surrounded by plenty of information about our environment. From these multiple
sources, numerous data could be extracted: set of images, 3D model, coloured points …

We present a method for large-scale geo-localization and global tracking of mobile devices
in urban outdoor environments. In contrast to existing methods, we instantaneously initialize …

Multiple mobile robots have gradually played a key role in many industrial systems, such as
factory freight logistics system, patrol security in the factory environment, and multirobot …

Abstract The Perspective-n-Point (PnP) problem seeks to estimate the pose of a calibrated
camera from n 3D-to-2D point correspondences. There are situations, though, where PnP …

Given a picture taken somewhere in the world, automatic geo-localization of such an image
is an extremely useful task especially for historical and forensic sciences, documentation …

In this paper, we present a new algorithm for finding all intersections of three quadrics. The
proposed method is algebraic in nature and it is considerably more efficient than the …

We propose VLASE, a framework to use semantic edge features from images to achieve on-
road localization. Semantic edge features denote edge contours that separate pairs of …

The power consumed by the memory hierarchy of a microprocessor can contribute to as
much as 50% of the total microprocessor system power, and is thus a good candidate for …

Deep learning-based line detectors and descriptors have gained significant attention in
computer vision. While most existing methods prioritize detecting repeatable line features …