Computational stereo has reached a high level of accuracy, but degrades in the presence of
occlusions, repeated textures, and correspondence errors along edges. We present a novel …

Light field technologies have seen a rise in recent years and microscopy is a field where
such technology has had a deep impact. The possibility to provide spatial and angular …

Stereo matching algorithm is a subset of machine vision study, and it is effective for creating
accurate depth maps that are utilized in a variety of applications. It is found that the most …

Machine vision is used to reconstruct three-dimensional information from images. To
perceive depth information of target objects, many techniques in machine vision such as …

This dissertation presents a novel and complete system architecture for dynamic systems
using onboard computer vision. The architecture is derived from port-based automata in a …

This paper presents a practical framework that consists of various local to global stereo
matching algorithms on a general purpose computing on graphics processing units platform …

Accurate and complete terrain maps enhance the awareness of autonomous robots and
enable safe and optimal path planning. Rocks and topography often create occlusions and …

Stereo cameras are a popular choice for obstacle avoidance for outdoor lighweight, low-cost
robotics applications. However, they are unable to sense thin and reflective objects well …

US20210107681A1 - Sensor assembly and unmanned aerial vehicle - Google Patents
US20210107681A1 - Sensor assembly and unmanned aerial vehicle - Google Patents …

In this work, we propose the Depth Generation Network (DGN) to address the problem of
dense depth estimation by exploiting the variational method and the deep-learning …