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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....
 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.
A FAST FIXED-POINT ALGORITHM FOR INDEPENDENT COMPONENT ...
The study of face recognition based on hybrid principal components analysis and independent component analysis Yanhong Zhou, Shukai Cao, Dong Wen, Huiyang Zhang and Liqiang Zhao 1 Sep 2011
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.
Applying Artificial Neural Networks for Face Recognition
Face detection segments the face areas from the background.In the case of video, the detected faces may need to be tracked using a face tracking component.Face alignment aims at achieving more accurate localization and at normalizing faces thereby, whereas face detection provides coarse estimates of the location and scale of each detected face.. Facial components, such as eyes, nose, and mouth ......
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...
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)...
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 ......
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....
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....
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