Face-Space: A Unifying Concept in Face Recognition Research

Face-space: A unifying concept in face recognition research.

The concept of a multidimensional psychological space, in which faces can be represented according to their perceived properties, is fundamental to the modern theorist in face processing. Yet the idea was not clearly expressed until 1991. The background that led to the development of face-space is explained, and its continuing influence on theories of face processing is discussed. Research that...

Face-space Models of Face Recognition

Face Recognition in Fourier Space

This paper describes a simple face recognition system based on an analysis of faces via their Fourier spectra. Recognition is done by finding the closest match between feature vectors containing the Fourier coefficients at selected frequencies. The introduced method compares favourably to three other competing approaches implemented on the same database.

Video-based face recognition in color space by graph-based discriminant analysis

Video-based face recognition has attracted significant attention in many applications such as media technology, network security, human-machine interfaces, and automatic access control system in the past decade. The usual way for face recognition is based upon the grayscale image produced by combining the three color component images. In this work, we consider grayscale image as well as color s...

Face Recognition Based Rank Reduction SVD Approach

Standard face recognition algorithms that use standard feature extraction techniques always suffer from image performance degradation. Recently, singular value decomposition and low-rank matrix are applied in many applications,including pattern recognition and feature extraction. The main objective of this research is to design an efficient face recognition approach by combining many tech...