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Evaluation of the independent component analysis algorithm ...
Keywords: Face recognition, Principal Component Analysis (PCA), Independent Component Analysis (ICA), Yale face database. 1. INTRODUCTION Face Recognition is the process of identifying or recognizing a particular familiar face from a group of known or unknown faces....
(PDF) REAL-TIME FACE RECOGNITION USING EIGENFACES | IJESRT ...
[10] Sequential row–column independent component analysis for face recognitionNeurocomputing,by (Quanxue Gao, Lei Zhang, David Zhang) [11] C. Liu, H. Wechsler, Comparative Assessment of Independent Component Analysis (ICA) for Face Recognition, Proc. of the Second International Conference on Audio- and Video-based Biometric Person ......
 Enhancing Performance of Face Recognition System Using ...
facebook uses face recognition system to help automate user tagging in photographs. To design high performance algorithms for automatic face recognition systems is a challenging task in the field of computer vision and pattern recognition for real time applications. Independent Component Analysis (ICA) is a...
ISSN : 2454-9150 SVM and ANN-based Comparison of Face ...
Abstract— Face recognition is a very important component of human intelligence. For individual identity faces are rich in information. Since last few years, face recognition have been most important and successful applications of machine learning and computer security. The major method for face recognition consists of two steps....
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE ...
component analysis, independent component analysis, local feature analysis, and Gabor wavelet representation. The best performances were obtained by using Gabor wavelet representation and independent component analysis with which a 95.5 percent average recognition rate was reported for six single upper face AUs (AU 1, AU 2, AU 4, AU 5, AU 6,...
Region-Based Representations for Face Recognition
accurately recognize the stimuli. Given that this does not occur, we can infer that fine edge information is not a critical prerequisite for face recognition. Given the limitations of pixel and edge-based primitives, we propose the use of novel image mea-surements that implement a region-based representational strategy.
Face Recognition Based on ICA Combined with FLD
Abstract. Recently in face recognition, as opposed to our expectation, the performance of an ICA (Independent Component Analysis) method combined with LDA (Linear Discriminant Analysis) was reported as lower than an ICA only based method.
Independent Component Analysis (ICA)
Viewpoint Invariant Face Recognition using Independent Component Analysis and Attractor Networks. ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS. [Cited by 75] (6.72/year) BARTLETT, M.S., J.R. MOVELLAN and T.J. SEJNOWSKI, 2002. Face recognition by independent component analysis. Neural Networks, IEEE Transactions on. [Cited by 367] (59.51/year)...
(PDF) Multilinear independent component analysis | Demetri ...
In particular, the linear, After reviewing the mathematical foundations of our appearance-based face recognition method known as Eigen- work in the next section, we introduce our multilinear ICA faces [9] is founded on the principal components analysis algorithm in Section 3 and develop the associated recogni- (PCA) of facial image ensembles [7]....
Research - M. Alex O. Vasilescu - MIT Media Lab
In the context of facial image ensembles, we demonstrate that the statistical regularities learned by MICA capture information that improves automatic face recognition. "Multilinear (Tensor) ICA and Dimensionality Reduction", M.A.O. Vasilescu, D. Terzopoulos, Proc. 7th International Conference on Independent Component Analysis and Signal ......
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