A major shortcoming of discriminative recognition and detection methods is their noise sensitivity, both during training and recognition. This may lead to very sensitive and britt...
3D Human face models have been widely used in applications such as face recognition, facial expression recognition, human action recognition, head tracking, facial animation, vide...
—In this paper, we propose a Multi-Manifold Discriminant Analysis (MMDA) method for face feature extraction and face recognition, which is based on graph embedded learning and un...
Activity recognition based on data from mobile wearable devices is becoming an important application area for machine learning. We propose a novel approach based on a combination ...
Registration of facial features is a significant step towards a complete solution of the face recognition problem. We have built a general framework for detecting a set of indivi...