The state of the art in computer vision has rapidly advanced over the past decade largely
aided by shared image datasets. However, most of these datasets tend to consist of assorted …

This paper describes a vision‐based obstacle detection and navigation system for use as
part of a robotic solution for the sustainable intensification of broad‐acre agriculture. To be …

In this paper, we introduce a hierarchy of twin convolutional regression networks to estimate
the homography between a pair of images. In this framework, networks are stacked …

In the last decade, visual odometry (VO) has attracted significant research attention within
the computer vision community. Most of the works have been carried out using standard …

Fully perceiving the surrounding world is a vital capability for autonomous robots. To
achieve this goal, a multi-camera system is usually equipped on the data collecting platform …

Rheumatoid arthritis (RA) is an inflammatory joint disease often affecting the hands, which if
untreated causes disability. Diffuse optical tomography (DOT) provides information about the …

Stereo cameras and dense stereo matching algorithms are core components for many
robotic applications due to their abilities to directly obtain dense depth measurements and …

We propose a novel omnidirectional stereo camera setup that is formed by two ultra-wide
field-of-view (FOV) fisheye cameras. The proposed configuration is formed by two 245 …

To reduce the labor effort in hazardous environments like spray painting, an automatic car
part spray painting machine has been set up. This article presents an intelligent location …

Optical means of instrument tracking has been widely used in image-guided interventions
and considered the de facto standard for tracking rigid bodies with a direct line-of-sight …