In this paper a novel genetically-inspired learning method is proposed for face expression recognition (FER) in visible images. Unlike current research for FER that generally uses ...
Previous work has shown that principal component analysis (PCA) of three-dimensional face models can be used to perform recognition to a high degree of accuracy. However, experimen...
Meshing is a popular technology for feature extraction in handwritten Chinese character recognition. In this paper, we propose a hierarchical overlapped elastic meshing (HOEM), wh...
In this paper, we present a novel feature extraction approach based on Curvature Scale Space (CSS) for translation, scale, and rotation invariant recognition of hand poses. First,...
In this paper we present a simple framework for activity recognition based on a model of multi-layered finite state machines, built on top of a low level image processing module f...