Creating long animation sequences with non-trivial repetitions is a time consuming and often difficult task. This is true for 2D images and even more true for 3D sequences. Based ...
Abstract. This paper describes Pittsburgh Pattern Recognition's participation in the face detection and tracking tasks for the CLEAR 2006 evaluation. We first give a system ov...
We present a fully automatic system for 2D model-based image coding of human faces for potential applications such as video telephony, database image compression, and face recogni...
Unsupervised learning requires a grouping step that defines which data belong together. A natural way of grouping in images is the segmentation of objects or parts of objects. Whi...
We present a new approach for the recognition of facial expressions from video sequences in the presence of occlusion. Although promising results have been reported in the literat...
Fabrice Bourel, Claude C. Chibelushi, Adrian A. Lo...