27 citations · 36 across the 17 of their papers we have counts for
3 papers · 1 filter
The Florence 4D Facial Expression Dataset
F. Principi, S. Berretti, C. Ferrari +3
Human facial expressions change dynamically, so their recognition / analysis should be conducted by accounting for the temporal evolution of face deformations either in 2D or 3D. W…
Generating Multiple 4D Expression Transitions by Learning Face Landmark Trajectories
Naima Otberdout, Claudio Ferrari, Mohamed Daoudi +2
In this work, we address the problem of 4D facial expressions generation. This is usually addressed by animating a neutral 3D face to reach an expression peak, and then get back to…
What makes you, you? Analyzing Recognition by Swapping Face Parts
Claudio Ferrari, Matteo Serpentoni, Stefano Berretti +1
Deep learning advanced face recognition to an unprecedented accuracy. However, understanding how local parts of the face affect the overall recognition performance is still mostly…