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
Successful face recognition is associated with increased prefrontal cortex activation in autism spectrum disorder.
John D. Herrington,John D. Herrington,Meghan E. Riley,Daniel W. Grupe,Robert T. Schultz,Robert T. Schultz +5 more
TL;DR: Functional MRI data suggest that prefrontal cortex activation may represent a compensatory mechanism for diminished visual information processing abilities in ASD.
Journal ArticleDOI
Perceptual and Semantic Contributions to Repetition Priming of Environmental Sounds
Marzia De Lucia,Luca Cocchi,Luca Cocchi,Roberto Martuzzi,Reto Meuli,Stephanie Clarke,Micah M. Murray +6 more
TL;DR: That the degree of repetition suppression was irrespective of whether or not both perceptual and semantic information was repeated is suggestive of a degree of acoustically independent semantic analysis in how object representations are maintained and retrieved.
Journal ArticleDOI
Illumination invariant single face image recognition under heterogeneous lighting condition
TL;DR: A novel gradient based descriptor, namely Logarithm Gradient Histogram (LGH), which takes the illumination direction, magnitude and the spectral wavelength together into consideration, so that it can handle both homogeneous and heterogeneous lightings.
Journal ArticleDOI
Comparative analysis of simple facial features extractors
TL;DR: A certain class of feature extractors for face recognition using this class of extractors is particularly efficient and fast, and can have straightforward implementations in software and hardware systems.
Journal ArticleDOI
Performance evaluation of local descriptors and distance measures on benchmarks and first-person-view videos for face identification
TL;DR: Comparative analysis on these databases using various descriptors shows the superiority of BSIF with Cosine, Chi square and Cityblock distance measures using 1-NN as classifier over other descriptors and distance measures and even some of the current state-of-art benchmark database results.
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.