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 ...
A common way to evaluate the performance of a system is to compare the algorithmic outputs with ground truth to identify divergences in the system’s performance and discover the...
In this paper, we propose a novel approach for facial expression analysis and recognition. The proposed approach relies on tracked facial actions provided by an appearance-based 3...
Skeletons are important shape descriptors in object representation and recognition. Typically, skeletons of volumetric models are computed using iterative thinning. However, tradi...
Human face detection plays an important role in many applications such as video surveillance, face recognition, and face image database management. This paper describes a fast fac...