| Félix Escalona, John Alejandro Castro Vargas |
| Wed 17 Jul 2019, 12:45 - 14:00 |
| IF, 4.31/33 |
If you have a question about this talk, please contact: Jodie Cameron (jcamero9)
Félix Escalona
With the emergence of low cost 3D sensors, the focus is moving towards the
recognition and scene understanding of tridimensional data. This
kind of representation is really challenging in terms of computation,
and it needs the development of new strategies and algorithms to be
handled and interpreted. In this work, we propose NurbsNet, a novel
approach for 3D object classification based on local similarities with
free form surfaces modeled as NURBS.
John Alejandro Castro Vargas
Hand pose recognition from point cloud by means of graph convolutional networks.
The talk will present initial results obtained from a synthetic dataset generated with UnrealEngine.