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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 ...
Face Recognition using Independent Component Analysis ...
Principal Component Analysis is used for the Face Recognition System [13]. This research used a version of PCA for facial images in FERET database where input picture is treated as random ...
Face Recognition Using Independent Component Analysis and ...
Deniz et al. 3 developed face recognition using independent component analysis (ICA) and SVM. They concluded that the best practical combination for face recognition is PCA with SVM on the face ...
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...
CiteSeerX — Citation Query Independent component analysis ...
New and emerging applications, such as data mining, web searching, retrieval of multimedia data, face recognition, and cursive handwriting recognition, require robust and efficient pattern recognition techniques. ... Independent component analysis (ICA) is a statistical method for transforming an observed multidimensional random vector into ......
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...
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