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 Recognizing Facial Actions by Combining Geometric Features ...
Gabor wavelet representation and independent component analysis. All of these systems [1, 7, 11] used a manual step to align the input images with a standard face image using the center of the eyes and mouth. In our previous system [21], multi-state face and facial component models are proposed for tracking and...
Face recognition: A literature survey: ACM Computing ...
Discriminant analysis of principal components for face recognition. In Proceedings, International Conference on Automatic Face and Gesture Recognition. 336--341.]] Google Scholar Digital Library; Zhao, W., Chellappa, R., and Phillips, P. J. 1999. Subspace linear discriminant analysis for face recognition....
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.
M. Hassaballah | South Valley - Academia.edu
ABSTRACT Detection of facial features such as eye, nose and mouth in the human face images is important for many applications like face identification or recognition systems. Independent components analysis (ICA) is an unsupervised learning method which decorrelates the higher-order statistics in addition to the second-order moments....
Face Modeling by Information Maximization
[42] C. Liu and H. Wechsler. Comparative assessment of independent component analysis (ica) for face recognition. In International conference on audio and video based biometric person authentication, 1999. [43] Q. Liu, J. Cheng, H. Lu, and S. Ma. Modeling face appearance with nonlinear independent component analysis....
Independent Component Analysis - Cambridge Core
Independent Component Analysis (ICA) has recently become an important tool for modelling and understanding empirical datasets. It is a method of separating out independent sources from linearly mixed data, and belongs to the class of general linear models.
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....
RFID and Face Recognition Based Security and Access ...
The researcher expect to increase strength of security by 50%. Face recognition under constrained condition and RFID are contactless processes. The approach presented in this paper for face recognition uses DWT and Euclidean distance method. Face recognition is a very important component in many applications like search engine and emotion detector....
Independent Component Analysis: A Review
analysis, projection pursuit and factor analysis. So Independent Component Analysis (ICA) is a method with help of which we can have a linear representation of nongaussian data so that the components are statistically independent. So, in this paper we see the basic theory and application of ICA. Key words: linear transformations makes ...
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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