The estimation of high-dimensional probability density functions (PDFs) is not an easy task for many image processing applications. The linear models assumed by widely used transf...
Design and implementation of a fast parallel architecture based on an improved principal component analysis (PCA) method called Composite PCA suitable for real-time face recogniti...
Face recognition is one of the most important image processing research topics which is widely used in personal identification, verification and security applications. In this pape...
In this paper, we present a PDA-based face recognition system as well as some of the associated challenges of developing a PDAbased face recognition system. We describe a prototyp...
Principal Component Analysis (PCA) has been widely used to extract features for pattern recognition problems such as object recognition. Oliva and Torralba used “spatial envelop...