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Face Recognition by Independent Component | Request PDF
Face Recognition by Independent Component. ... components of natural scenes are localized and oriented edge lters similar to Gabor lters. ... and independent component analysis (ICA) for face ...
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 ...
 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.
Applying Artificial Neural Networks for Face Recognition
The model is assumed to have The strongest edge, correlation, and statistical model of profile. ... The Association of Geometric Feature-Based Method and Independent Component Analysis in Facial Feature Extraction ... “Face recognition by independent component analysis,” IEEE Transactions on Neural Networks, vol. 13, no. 6, pp. 1450–1464 ......
Action recognition based on overcomplete independent ...
Independent component analysis (ICA) , , a specific case of sparse coding when constraining the number of basis functions to equal the feature dimension, also shows similar response properties with simple cells in visual cortex and achieves success in face recognition and action recognition .
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.
3D Reconstruction and Face Recognition Using Kernel-Based ...
Keywords: Independent component analysis, 3D human face reconstruction, 3D human face recognition, back-propagation algorithm, neural networks. 1. Introduction When we use a camera to capture 3D objects, we lose the depth information of the 3D objects and only obtain the 2D image information. However, the depth information of the 3D objects ......
(PDF) REAL-TIME FACE RECOGNITION USING EIGENFACES | IJESRT ...
[10] Sequential row–column independent component analysis for face recognitionNeurocomputing,by (Quanxue Gao, Lei Zhang, David Zhang) [11] C. Liu, H. Wechsler, Comparative Assessment of Independent Component Analysis (ICA) for Face Recognition, Proc. of the Second International Conference on Audio- and Video-based Biometric Person ......
Multilinear Independent Components Analysis
Multilinear Independent Components Analysis M. Alex O. Vasilescu1,2 and Demetri Terzopoulos2,1 1Department of Computer Science, University of Toronto, Toronto ON M5S 3G4, Canada 2Courant Institute of Mathematical Sciences, New York University, New York, NY 10003, USA Abstract IndependentComponentsAnalysis(ICA)maximizesthesta-tistical independence of the representational components of...
A face recognition system based on convolution neural ...
The recognition technology that recognizes or discriminates certain individuals is very important for the security that provides intelligence services. Face recognition rate can vary depending on variability of the face itself as well as other external factors such as illumination, background, angle and distance of a camera position. The paper suggests a proper method for long-distance face ......
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