In this paper we present a new database of color, high resolution face images. The database
contains almost 10000 images of 100 people acquired in partially controlled conditions and …

In this paper, a novel topology preserving non-negative matrix factorization (TPNMF) method
is proposed for face recognition. We derive the TPNMF model from original NMF algorithm …

This paper describes an object detection framework that learns the discriminative co-
occurrence of multiple features. Feature co-occurrences are automatically found by …

In this paper, we propose a new face recognition algorithm based on a single frontal-view
image for each face subject, which considers the effect of the face manifold structure. To …

One of the main challenges in face recognition is represented by pose and illumination
variations that drastically affect the recognition performance, as confirmed by the results of …

A method determines a direction of a principal light source in an image. An input image I is
acquired of an object illuminated by a principal light source from an unknown direction. The …

Although many face recognition techniques have been proposed, recent evaluations in
FRVT2006 conclude that relaxing the illumination condition has a dramatic effect on their …

Illumination variation on images of faces is one of the most difficult problems in face
recognition systems. The performance of a self-organizing map-based face recognition …

We present an appearance-based method for face recognition and evaluate its robustness
against illumination changes. Self-organizing map (SOM) is utilized to transform the high …

We aim to create systems that identify and locate objects by comparing known, 3D shapes to
intensity images that they have produced. To do this we focus on verification methods that …