We present a discriminative part-based approach for human action recognition from video sequences using motion features. Our model is based on the recently proposed hidden conditi...
We present a method for automatically learning discriminative image patches for the recognition of given object classes. The approach applies discriminative training of log-linear...
In this paper we combine methods from the field of computer vision with surface editing techniques to generate animated faces, which are all in full correspondence to each other....
Automatic recovery of eye gestures from image sequences is one of the important topics for face recognition and model-based coding of videophone sequences. Usually complicated mod...
Ilse Ravyse, Hichem Sahli, Jan Cornelis, Marcel J....
This paper presents a spatiotemporal pyramid representation for recognizing facial expressions and hand gestures. This approach works by partitioning video sequence into increasin...