Towards Self-Perception in Augmented Virtuality: Hand Segmentation with Fully Convolutional Networks

Using an average of 10 percent as an estimate (this is an approximation as clearance rates might also vary slightly with the number of the sequence) and setting the

Virtual Bodystorming utilizes Virtual Reality (VR) and enables the user to role-play the ser- vice scenario in a fully immersive and collaborative VR environment. In this

In our proposed self-constructing graph convolutional network (SCG-Net), the SCG is followed by Graph Convolutional Networks (GCNs) [2] to update the node features along the edges

Although, particularly early in the 1920s, the cleanliness of the Cana- dian milk supply was uneven, public health professionals, the dairy indus- try, and the Federal Department

The goal of this thesis is to use interaction design principles on immersive augmented reality (AR) technologies in construction to figure out what the right degree of immersion is

The goal of this work is to record human hand trajectories during goal-oriented reaching behaviors in immersive VR for later imitation by a virtual human.. It is desirable that the

In this work, we propose the use of deep learning techniques to segment items of interest from the local region to increase self-presence in Virtual Reality (VR) scenarios. Our goal

We have applied our method to a deep learning model for semantic segmentation, U-Net, in a remote sensing application of building detection.. This application is of high interest