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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.
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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 using facial shape indices with two different three-dimensional sensors

TL;DR: A three-dimensional (3-D) face recognition system based on two different 3-D sensors used to overcome pose variation problems that cannot be effectively solved when working with 2-D images is described.
Journal Article

Face Recognition Using Principal Component Analysis

TL;DR: An approach to recognize a face using Principal Components Analysis based Genetic Algorithm in the area of computer vision is described in this paper.
Proceedings Article

Face recognition using principle components and linear discriminant analysis

TL;DR: Study of two appearance-based approaches for feature extraction and dimension reduction, namely, Principal Components Analysis (PCA) and Linear Discriminant Analysis (LDA) suggest that as the number of training images increases, PCA would yield slightly higher recognition rates.
Proceedings ArticleDOI

Aggregation of Tennis Groundstrokes on the Basis of the Choquet Integral and Its Generalizations

TL;DR: In this paper , Support Vector Machines, Multilayer Perceptron, and Spatial-Temporal Graph Convolutional Neural Networks are applied to find a match and put the move trajectories into the proper classes.

Review of Different Face Recognition Techniques

TL;DR: A discussion outlining the incentive for using face recognition, the applications of this technology, and some of the difficulties plaguing current systems with consider to this task has also been provided.
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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