GeoConv: Geodesic Guided Convolution for Facial Action Unit Recognition

Automatic facial action unit (AU) recognition has attracted great attention but still remains a challenging task, as subtle changes of local facial muscles are difficult to thoroughly capture. Most existing AU recognition approaches leverage geometry information in a straightfor-ward 2D or 3D manner, which either ignore 3D manifold information or suffer from high computational costs.