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
Processing of facial emotion in the human fusiform gyrus
Hiroto Kawasaki,Naotsugu Tsuchiya,Christopher K. Kovach,Kirill V. Nourski,Hiroyuki Oya,Matthew A. Howard,Ralph Adolphs +6 more
TL;DR: A more complex, fragmented architecture of ventral temporal cortex around the fusiform gyrus is suggested, one that includes focal regions of cortex that appear relatively specialized for either static or dynamic aspects of faces.
Journal ArticleDOI
Weighted group sparse representation for undersampled face recognition
TL;DR: Experimental results on five face data sets have shown that the proposed method outperforms state-of-the-art sparse representation based classification methods, especially when the authors have relatively small number of training data for each class.
Journal ArticleDOI
Expression-robust 3D face recognition via weighted sparse representation of multi-scale and multi-component local normal patterns
Huibin Li,Huibin Li,Di Huang,Jean-Marie Morvan,Jean-Marie Morvan,Liming Chen,Liming Chen,Yunhong Wang +7 more
TL;DR: This paper proposes a novel highly discriminative facial shape descriptor, namely multi-scale and multi-component local normal patterns (MSMC-LNP), and formulate a weighted sparse representation-based classifier (W-SRC).
Proceedings ArticleDOI
A panoramic video and acoustic beamforming sensor for videoconferencing
TL;DR: A multi-modal perception system using both video and audio signals for such a videoconferencing system using an omnidirectional video camera and an audio beamforming array placed in the center of a meeting table.
Journal ArticleDOI
CDMMA: Coupled discriminant multi-manifold analysis for matching low-resolution face images
TL;DR: A novel method to address the problem of matching a LR or poor quality face image to a gallery of high-resolution (HR) face images and demonstrates the superiority of the proposed coupled discriminant multi-manifold analysis (CDMMA).
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.