We have developed a near-real-time computer system that can locate and track a subject's
head, and then recognize the person by comparing characteristics of the face to those of …

… eigenface approach to face recognition was motivated by information theory, leading to the
idea of basing face recognition … general object recognition problem, the eigenface approach …

… If the face is recognized as “unknown”, face images can then be … the eigenfaces method
is described and then it is demonstrated that the features vectors obtained from the eigenfaces …

… Using the initial set of facial images, we calculate the corresponding eigenfaces. Every new
… eigenfaces that is used to recognize a face. To implement this face recognition system, we …

… are needed to solve the face recognition problem. In this paper, Eigenfaces method is
used for face recognition. In the recognition process, an eigenface is formed for the given face …

… algorithms for face recognition: eigenface, autoassociation and … Analysis and experimental
results indicate that the eigenface … To use eigenface in face recognition, we can use the …

… eigenfaces are calculated from the initial face image set. New faces are projected onto the
space expanded by eigenfaces … a face recognition system based on the eigenfaces approach, …

… the recognition results using kernel methods with Eigenface methods on two benchmarks.
Empirical results show that Kernel PCA outperforms the Eigenface method in face recognition. …

… the approach to face recognition with eigenface, focusing on … feasible formula to find the
eigenfaces, then investigate the … an eigenface approach for frontal views face recognition, …

In this paper, we present a novel method for performing robust illumination-tolerant and
partial face recognition that is based on modeling the phase spectrum of face images. We …