Using CNNs For Users Segmentation In Video See-Through Augmented Virtuality

Pierre-Olivier Pigny, Lionel Dominjon
2019 2019 IEEE International Conference on Artificial Intelligence and Virtual Reality (AIVR)  
In this paper, we present preliminary results on the use of deep learning techniques to integrate the users self-body and other participants into a head-mounted video see-through augmented virtuality scenario. It has been previously shown that seeing users bodies in such simulations may improve the feeling of both self and social presence in the virtual environment, as well as user performance. We propose to use a convolutional neural network for real time semantic segmentation of users bodies
more » ... n the stereoscopic RGB video streams acquired from the perspective of the user. We describe design issues as well as implementation details of the system and demonstrate the feasibility of using such neural networks for merging users bodies in an augmented virtuality simulation.
doi:10.1109/aivr46125.2019.00048 dblp:conf/aivr/PignyD19 fatcat:wancizziefexnblydjyri52ihq