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Journal ArticleDOI

Face recognition

TLDR
This work designs classifiers based on the well-known fisherface method and demonstrates that the proposed method comes with better performance when compared with other template-based techniques and shows substantial insensitivity to large variation in light direction and facial expression.
About
This article is published in Pattern Recognition Letters.The article was published on 2005-05-01. It has received 679 citations till now. The article focuses on the topics: Facial recognition system & Fuzzy logic.

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Citations
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Journal ArticleDOI

Face recognition based on wavelet-curvelet-fractal technique

TL;DR: A novel face recognition method, named as wavelet-curvelet-fractal technique, is proposed, which adopts the Euclidean minimum distance classifier to recognize different faces.
Journal ArticleDOI

Face illumination compensation dictionary

TL;DR: It is illustrated that face illumination distinction could be compensated just through a general linear dictionary, and after enrolling the illumination compensation strategy, even there is only single gallery image for each subject, linear representation recognition approaches can still be relatively robust to probe illumination variance.
Journal Article

Face Recognition using Artificial Neural Network

TL;DR: Two Face Recognition Systems (FRS) based on Artificial Neural Network (ANN) have been proposed in this paper based on feature extraction techniques and the results confirmed the feasibility of the methodologies followed.
Book ChapterDOI

COBVIS-D: A Computer Vision System for Describing the Cephalo-Ocular Behavior of Drivers in a Driving Simulator

TL;DR: Current research combining computer vision, virtual reality and kinesiology for analyzing the cephalo-ocular behavior of drivers in realistic driving contexts to achieve automatic analysis of drivers' behavior in order to design training programs tailored to their driving habits.
References
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Journal ArticleDOI

Eigenfaces vs. Fisherfaces: recognition using class specific linear projection

TL;DR: A face recognition algorithm which is insensitive to large variation in lighting direction and facial expression is developed, based on Fisher's linear discriminant and produces well separated classes in a low-dimensional subspace, even under severe variations in lighting and facial expressions.
Proceedings ArticleDOI

Face recognition using eigenfaces

TL;DR: An approach to the detection and identification of human faces is presented, and a working, near-real-time face recognition system which tracks a subject's head and then recognizes the person by comparing characteristics of the face to those of known individuals is described.
Journal ArticleDOI

Face recognition: features versus templates

TL;DR: Two new algorithms for computer recognition of human faces, one based on the computation of a set of geometrical features, such as nose width and length, mouth position, and chin shape, and the second based on almost-gray-level template matching are presented.
Journal ArticleDOI

The FERET database and evaluation procedure for face-recognition algorithms

TL;DR: The FERET evaluation procedure is an independently administered test of face-recognition algorithms to allow a direct comparison between different algorithms and to assess the state of the art in face recognition.
Proceedings ArticleDOI

View-based and modular eigenspaces for face recognition

TL;DR: In this paper, a view-based multiple-observer eigenspace technique is proposed for use in face recognition under variable pose, which incorporates salient features such as the eyes, nose and mouth, in an eigen feature layer.
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