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...
This paper compares different confidence measures for the results of statistical face recognition systems. The main applications of a confidence measure are rejection of unknown p...
We present a fully automatic system for 2D model-based image coding of human faces for potential applications such as video telephony, database image compression, and face recogni...
Linear Discriminant Analysis(LDA) is well-known scheme for feature extraction and dimension reduction. It has been used widely in many applications involving high-dimensional data,...
Sparse representation for machine learning has been exploited in past years. Several sparse representation based classification algorithms have been developed for some application...