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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....
 An Introduction to Independent Components Analysis (ICA)
Independent Component Analysis. 2001 • Stone, James. Independent Component Analysis: A Tutorial IdiIntroduction. 2004 • Bishop, Christopher. Pattern Recognition and Machine Learning. 2007 • Shawe‐Taylor, J and N Cristianini. Kernel Methods for Pattern Analysis. 2004...
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 ......
Principal Manifolds and Probabilistic Subspaces for Visual ...
We investigate the use of linear and nonlinear principal manifolds for learning low-dimensional representations for visual recognition. Several leading techniques: Principal Component Analysis (PCA), Independent Component Analysis (ICA), and nonlinear Kernel PCA (KPCA) are examined and tested in a visual recognition experiment using 1,800+ facial images from the "FERET"database....
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