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
Coupled principal component analysis based face recognition in heterogeneous sensor networks
Zhong Zhang,Shuang Liu +1 more
TL;DR: A novel approach named coupled principal component analysis (CPCA) that uses a feature-based representation for heterogeneous face images that reduces the gap between face images captured from heterogeneous sensors in HSN.
Merging the philosophical and scientific studies of consciousness
TL;DR: Evidence against higher-order theory theories of consciousness and conscious experience in the face of frontal lobe lesion evidence is found is presented.
Proceedings ArticleDOI
Meerkat: A framework for developing presence monitoring software based on face recognition
TL;DR: This paper proposes a framework-called Meerkat-for developing presence monitoring software that relies on the face recognition technology from Microsoft Cognitive Services as a convenient tool to produce web-based APIs that can easily be used to develop web applications for presence monitoring.
Face Biometrics: A Longitudinal Study
TL;DR: This study reviews two face biometric systems, Neurotechnology's Verilook and Luxand's FaceSDK, and conducts experiments with the affects of aging in mind, and research was conducted on how anthropometrics is linked to facialBiometric systems.
Journal ArticleDOI
Improving children's performance on photographic line-ups: Do the physical properties of a ‘wildcard’ make a difference?
Rachel Zajac,Fiona Jack +1 more
TL;DR: The authors investigated whether the wildcard's physical properties influence its success on target-absent photographic line-ups and found that children's performance may improve when they have the option of pointing to a wildcard, a photo of a silhouetted figure with a question mark superimposed.
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.