This paper identifies a novel feature space to address the problem of human face recognition from still images. This is based on the PCA space of the features extracted by a new m...
The key to increasing performance without a commensurate increase in power consumption in modern processors lies in increasing both parallelism and core specialization. Core speci...
Gabor feature has been widely recognized as one of the best representations for face recognition. However, traditionally, it has to be reduced in dimension due to curse of dimensi...
Non-linear subspaces derived using kernel methods have been found to be superior compared to linear subspaces in modeling or classification tasks of several visual phenomena. Such...
: This communication describes a representation of images as a set of edges characterized by their position and orientation. This representation allows the comparison of two images...