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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Book
The neuroscience of social interaction : decoding, imitating, and influencing the actions of others
Chris D. Frith,Daniel M. Wolpert +1 more
TL;DR: This book presents the unifying computational framework for motor control and social interaction, a rapprochement between developmental psychology and cognitive neuroscience and the study of social interactions.
Journal ArticleDOI
Cerebral Dominance in Musicians and Nonmusicians
TL;DR: The left hemisphere is dominant for analytic processing and the right hemisphere for holistic processing as discussed by the authors, while naive listeners recognize simple melodies better in the right ear than the left, while the reverse is true for naive listeners.
Journal ArticleDOI
ICA Color Space for Pattern Recognition
Chengjun Liu,Jian Yang +1 more
TL;DR: The proposed ICA color space method is demonstrated using a complex grand challenge pattern recognition problem and a large scale database and achieves the face verification rate (ROC III) of 73.69% at the false accept rate (FAR) of 0.1%.
Journal ArticleDOI
A hybrid approach combining extreme learning machine and sparse representation for image classification
Minxia Luo,Kai Zhang +1 more
TL;DR: A novel hybrid approach combining ELM and SRC for image classification is proposed and results demonstrate that it not only outperforms ELM in classification accuracy but also has much less computational complexity than SRC.
Journal ArticleDOI
Guidelines for studying developmental prosopagnosia in adults and children
TL;DR: Criteria for an operational definition of developmental prosopagnosia is discussed, tests of face recognition and conventions for classifying individuals as DP are discussed, and important considerations regarding common associations and dissociations, and cognitive heterogeneity in DP are highlighted.
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.