Depth information is important for autonomous systems to perceive environments and
estimate their own state. Traditional depth estimation methods, like structure from motion …

The measurement of 3D spatial coordinates for model reconstruction through artificial
machine vision systems based on optical sensors and the corresponding signal processing …

Abstract Large-scale, high-accuracy, and adaptive three-dimensional (3D) perception are
the basic technical requirements for constructing a practical and stable fruit-picking robot …

Minimally invasive medicine has become mainstream because of its crucial clinical
significance in providing a low risk of postoperative complications, limited blood loss, short …

Object detection and classification is important for video surveillance applications. Counting
vehicles like cars, truck and vans is useful for intelligent transportation systems to identify …

The vision-based road lane detection technique plays a key role in driver assistance system.
While existing lane recognition algorithms demonstrated over 90% detection rate, the …

Vision based human pose estimation is an non-invasive technology for Human-Computer
Interaction (HCI). The direct use of the hand as an input device provides an attractive …

Vision-based map-matching with HD map for high precision vehicle localization has gained
great attention for its low-cost and ease of deployment. However, its localization …

In the field of three-dimensional (3-D) metrology based on fringe projection profilometry
(FPP), accurate camera calibration is an essential task and a primary requirement. In order …

Underground potable water pipes are essential infrastructure assets for any country. A
significant proportion of those assets are deteriorating due to pipe corrosion which results in …