We introduce a stochastic model to characterize the online computational process of an object recognition system based on a hierarchy of classifiers. The model is a graphical netwo...
2D intensity images and 3D shape models are both useful for face recognition, but in different ways. While algorithms have long been developed using 2D or 3D data, recently has see...
This survey compares internal representations of the recent as well as more traditional face recognition techniques to classify them into several broad categories. The categories ...
This paper presents the method to determine the order of feature (attention) points for face detection. The order of feature points is determined in terms of the classification ab...
Local invariant feature based methods have been proven to be effective in computer vision for object recognition and learning. But for an image, the number of points detected and ...