Journal ArticleDOI
Face recognition
Keun-Chang Kwak,Witold Pedrycz +1 more
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.read more
Citations
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Journal ArticleDOI
Feature selection for face recognition: a memetic algorithmic approach
TL;DR: A PCA - memetic algorithm (PCA-MA) approach for feature selection for face recognition found that as far as the recognition rate is concerned, PCA- MA completely outperforms the eigenface method.
Proceedings ArticleDOI
Face Recognition Using a Time-of-Flight Camera
Simon Meers,Koren Ward +1 more
TL;DR: Experimental results are provided which show the potential of this method to exceed the real-time performance of existing head-pose tracking and face recognition systems.
Journal ArticleDOI
Compensatory strategies in processing facial emotions: evidence from prosopagnosia.
TL;DR: It is proposed that H.J.A.'s emotion judgements relied on local rather than on configural information, and this local information was disrupted by inversion, and a compensatory strategy, based on processing local face parts, can be sufficient to process at least some facial emotions.
Journal ArticleDOI
Attention control with reinforcement learning for face recognition under partial occlusion
TL;DR: Results of various experiments on the AR face database demonstrate the superior performance of proposed method as compared with that of the holistic approach in the recognition of occluded faces.
Journal ArticleDOI
Distinct spatial scale sensitivities for early categorization of faces and places: neuromagnetic and behavioral findings.
Bhuvanesh Awasthi,Bhuvanesh Awasthi,Paul F. Sowman,Jason Friedman,Jason Friedman,Mark A. Williams +5 more
TL;DR: Results suggest that SF modulates the processing of category specific information for faces and places, while rapid categorization of places was facilitated by HSF information.
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
Matthew Turk,Alex Pentland +1 more
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
Roberto Brunelli,Tomaso Poggio +1 more
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
Pentland,Moghaddam,Starner +2 more
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.