Deep, Landmark-Free FAME: Face Alignment, Modeling, and Expression Estimation

International Journal of Computer Vision, pp. 930-956, 2019.

Cited by: 16|Bibtex|Views59|DOI:https://doi.org/10.1007/s11263-019-01151-x
EI
Other Links: academic.microsoft.com|dblp.uni-trier.de|link.springer.com

Abstract:

We present a novel method for modeling 3D face shape, viewpoint, and expression from a single, unconstrained photo. Our method uses three deep convolutional neural networks to estimate each of these components separately. Importantly, unlike others, our method does not use facial landmark detection at test time; instead, it estimates thes...More

Code:

Data:

Your rating :
0

 

Tags
Comments