This paper addresses the problem of recovering 3D human pose from a single monocular image, using a discriminative bag-of-words approach. In previous work, the visual words are le...
Huazhong Ning, Wei Xu, Yihong Gong, Thomas S. Huan...
This perspective paper explores principles of unsupervised learning and how they relate to face recognition. Dependency coding and information maximization appear to be central pr...
Pasting somebody's face into an existing image with traditional photo retouching and digital image processing tools has only been possible if both images show the face from t...
Volker Blanz, Kristina Scherbaum, Thomas Vetter, H...
We present a method for training a similarity metric from data. The method can be used for recognition or verification applications where the number of categories is very large an...
We propose a new fast facial-feature extraction technique for embedded face-recognition applications. A deformable feature model is adopted, of which the parameters are optimized t...