Deep learning is currently widely used in a variety of applications, including computer vision
and natural language processing. End devices, such as smartphones and Internet-of-Things …

In this work we adapt multi-person pose estimation architecture to use it on edge devices.
We follow the bottom-up approach from OpenPose, the winner of COCO 2016 Keypoints …

Accurate tracking of objects in the real world is highly desirable in Augmented Reality (AR)
to aid proper placement of virtual objects in a user's view. Deep neural networks (DNNs) …

The name edge intelligence, also known as Edge AI, is a recent term used in the past few
years to refer to the confluence of machine learning, or broadly speaking artificial …

When it comes to visitors at museums and heritage attractions objects speak for themselves.
Nevertheless, it is important to give those visitors the best experience possible as, this will …

This dissertation has two main objectives--solving power and latency issues in mobile
augmented reality. For power, we showcase the power drain due to the two heaviest …

Abstract Mobile Augmented Reality (AR) is becoming more and more popular, with the AR
market estimated to grow to $61 billion by 2023. However, there is a lack of understanding of …

Hoje em dia, cada vez mais experiências culturais são melhoradas tendo por base
aplicações móveis, incluindo aqueles que usam Realidade Aumentada (RA). Estas …

Hoje em dia, cada vez mais experiências culturais são melhoradas tendo por base
aplicações móveis, incluindo aqueles que usam Realidade Aumentada (RA). Estas …