We present a comprehensive approach to address three challenging problems in face recognition: modelling faces across multi-views, extracting the non-linear discriminating feature...
This paper presents an approach to recognising the gender and expression of face images by means of Active Appearance Models (AAM). Features extracted by a trained AAM are used to...
We show that we can effectively and automatically fit a complex facial animation model to uncalibrated image sequences. Our approach is based on model-driven bundleadjustment foll...
We present results of the first study to examine individual and multi-modal face recognition using 2D, 3D and infrared images of the same set of subjects. Each sensor captures dif...
Kyong I. Chang, Kevin W. Bowyer, Patrick J. Flynn,...
This paper proposes a novel method to estimate the head yaw rotations based on the asymmetry of 2-D facial appearance. In traditional appearance-based pose estimation methods, feat...