39 citations · 72 across the 4 of their papers we have counts for
5 papers
A Unified Tensor-based Active Appearance Face Model
Zhen-Hua Feng, Josef Kittler, William Christmas +1
Appearance variations result in many difficulties in face image analysis. To deal with this challenge, we present a Unified Tensor-based Active Appearance Model (UT-AAM) for jointl…
Dynamic Attention-controlled Cascaded Shape Regression Exploiting Training Data Augmentation and Fuzzy-set Sample Weighting
Zhen-Hua Feng, Josef Kittler, William Christmas +2
We present a new Cascaded Shape Regression (CSR) architecture, namely Dynamic Attention-Controlled CSR (DAC-CSR), for robust facial landmark detection on unconstrained faces. Our D…
3D Face Tracking and Texture Fusion in the Wild
Patrik Huber, Philipp Kopp, Matthias Rätsch +2
We present a fully automatic approach to real-time 3D face reconstruction from monocular in-the-wild videos. With the use of a cascaded-regressor based face tracking and a 3D Morph…
When Face Recognition Meets with Deep Learning: an Evaluation of Convolutional Neural Networks for Face Recognition
Guosheng Hu, Yongxin Yang, Dong Yi +4
Deep learning, in particular Convolutional Neural Network (CNN), has achieved promising results in face recognition recently. However, it remains an open question: why CNNs work we…
Fitting 3D Morphable Models using Local Features
Patrik Huber, Zhen-Hua Feng, William Christmas +2
In this paper, we propose a novel fitting method that uses local image features to fit a 3D Morphable Model to 2D images. To overcome the obstacle of optimising a cost function tha…