Facial expressions are an important way through which humans interact socially. Building a
system capable of automatically recognizing facial expressions from images and video has …

Automatic facial expression recognition constitutes an active research field due to the latest
advances in computing technology that make the user's experience a clear priority. The …

The 3D shapes of faces are well known to be discriminative. Yet despite this, they are rarely
used for face recognition and always under controlled viewing conditions. We claim that this …

Humans perceive the three-dimensional structure of the world with apparent ease. However,
despite all of the recent advances in computer vision research, the dream of having a …

Existing single view, 3D face reconstruction methods can produce beautifully detailed 3D
results, but typically only for near frontal, unobstructed viewpoints. We describe a system …

In two editions spanning more than a decade, The Electrical Engineering Handbook stands
as the definitive reference to the multidisciplinary field of electrical engineering. Our …

Makeup transfer is the task of applying on a source face the makeup style from a reference
image. Real-life makeups are diverse and wild, which cover not only color-changing but also …

We present a novel algorithm aiming to estimate the 3D shape, the texture of a human face,
along with the 3D pose and the light direction from a single photograph by recovering the …

Abstract Active Appearance Models (AAMs) are generative models commonly used to model
faces. Another closely related type of face models are 3D Morphable Models (3DMMs) …

We describe a deep learning based method for estimating 3D facial expression coefficients.
Unlike previous work, our process does not relay on facial landmark detection methods as a …