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Independent Component Analysis of Edge Information for ...
This paper addresses the problem of face recognition under variation of illumination and poses with large rotation angles using edge information as Independent Component (ICs).
Independent component analysis of Gabor features for face ...
Liu and Wechsler [6] used the bank containing 40 GFs comprising of five scales and eight angles for feature extraction from the face images followed by principal component analysis, independent ...
Gender Classification by Facial Feature Extraction Using ...
In this paper, we presented a gender classification framework consist of a series of phases for determining the gender as the final output. Initially we start by detecting the face from an image using Viola Jones and then extract the facial feature using the Topographic Independent Component Analysis.
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 ......
 Independent Component Representations for Face Recognition
Keywords: Independent component analysis, ICA, principal component analysis, PCA, face recognition. 1. INTRODUCTION Several advances in face recognition such as "H~lons,~ " "Eigenfa~es,~ " and "Local Feature Analysis4" have employed forms of principal component analysis, which addresses only second-order moments of the input. Principal component...
Face Recognition Using Independent Component Analysis and ...
Déniz⋆⋆ O., Castrillón M., Hernández M. (2001) Face Recognition Using Independent Component Analysis and Support Vector Machines ⋆. In: Bigun J., Smeraldi F. (eds) Audio- and Video-Based Biometric Person Authentication. AVBPA 2001. Lecture Notes in Computer Science, vol 2091. Springer, Berlin, Heidelberg. First Online 17 August 2001...
Face recognition using Principal Component Analysis
Facial recognition can be done by various methods such as principal component analysis (PCA), linear discriminant analysis (LDA), independent component analysis (ICA), a local binary pattern ...
ICA Face Recognition Matlab code - YouTube
A number of face recognition algorithms employ principal component analysis (PCA), which is based on the second-order statistics of the image set, and does not address high-order statistical ...
RFID and Face Recognition Based Security and Access ...
The researcher in this paper support face recognition with RFID and communication system. 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....
3D reconstruction and face recognition using kernel-based ...
Research highlights We propose an improved kernel-independent component analysis method to reconstruct 3D human faces. A three-layer feed-forward neural network trained by a back-propagation algorithm is used to realize a classifier. The experimental results demonstrate that the proposed method is efficient in reconstruction and face recognition applications....
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