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Independent components analysis-based nose detection method
The method adopt Independent Components Analysis (ICA) as a subspace classifier to classify the face candidate region to nose or non nose. The ICA basis vectors are estimated by the FastICA algorithm. The training has been done using features of nose appearance and shape characterized by the edge information.
Independent component analysis - Wikipedia
In signal processing, independent component analysis (ICA) is a computational method for separating a multivariate signal into additive subcomponents. This is done by assuming that the subcomponents are non-Gaussian signals and that they are statistically independent from each other. ICA is a special case of blind source separation.A common example application is the "cocktail party problem ...
(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]....
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.
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 ......
icalab ICA : Independent component analysis, based - CodeBus
icalab ICA : Independent component analysis, based on MATLAB. FastICA_2.4] - based on independent component analysis [independentcomponentanalysis(maltabcode)used] - independent component analysis (maltab c[] - fast algorithm, the test after test, we[Classification-MatLab-Toolbox] - pattern recognition Matlab toolbox, incl[] - ICA achieving Matlab feature extraction...
US7254257B2 - Method and apparatus of recognizing face ...
A method and apparatus for recognizing and searching for a face using 2nd-order independent component analysis (ICA) are provided. The method for describing feature points uses 2nd-order ICA d to describe a facial image space and improve recognition performance in various illumination conditions. According to the method and apparatus, use of pose or illumination invariant face descriptor ......
Independent Component Analysis - Papers With Code
Independent component analysis (ICA) is a statistical and computational technique for revealing hidden factors that underlie sets of random variables, measurements, or signals. ICA defines a generative model for the observed multivariate data, which is typically given as a large database of samples. In the model, the data variables are assumed to be linear mixtures of some unknown latent ...
ICA for dummies – Arnaud Delorme
Independent Component Analysis is a signal processing method to separate independent sources linearly mixed in several sensors. For instance, when recording electroencephalograms (EEG) on the scalp, ICA can separate out artifacts embedded in the data (since they are usually independent of each other).
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