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 Face Recognition: From Traditional to Deep Learning Methods
Fig. 2: Face recognition building blocks. face recognition research, as CNNs are being used to solve many other computer vision tasks, such as object detection and recognition, segmentation, optical character recognition, facial expression analysis, age estimation, etc. Face recognition systems are usually composed of the following building blocks:...
Improving clustering performance using independent ...
To provide a parsimonious clustering pipeline that provides comparable performance to deep learning-based clustering methods, but without using deep learning algorithms, such as autoencoders. Clustering was performed on six benchmark datasets, consisting of five image datasets used in object, face, digit recognition tasks (COIL20, COIL100, CMU-PIE, USPS, and MNIST) and one text document ...
A Robust Method for Nose Detection under Various ...
It depends on the local appearance and shape of nose region characterized by edge information. Independent Components Analysis (ICA) is used to learn the appearance of nose. ... Independent Component Analysis Training Image Independent Component Analysis Edge ... Sejnowski, T.J.: Face recognition by independent component analysis. IEEE Trans ......
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....
Action recognition based on overcomplete independent ...
Action recognition based on overcomplete independent components analysis Shengping Zhanga,⇑, Hongxun Yaoa, Xin Suna, Kuanquan Wanga, Jun Zhangb, Xiusheng Lua, Yanhao Zhanga a School of Computer Science and Technology, Harbin Institute of Technology, China bSchool of Computer Science and Information, Hefei University of Technology, China article info ......
An evaluation of independent component analyses with an ...
Face recognition by independent component analysis. Neural Networks, IEEE Transactions on. 2002; 13:1450–1464. [PMC free article] Beckmann CF. Modelling with independent components. NeuroImage. 2012; 62:891–901. Beckmann CF, Smith SM. Probabilistic independent component analysis for functional magnetic resonance imaging....
Sample gallery - Accord.NET Machine Learning in C#
Independent component analysis for blind source separation. Download the application; ... Learning and recognition of mouse gestures using hidden Markov model-based classifiers and Hidden Conditional Random Fields. ... Face detection using the Face detection based in Haar-like rectangular features method often known as the Viola-Jones method....
Three-dimensional computational holographic imaging and ...
We present computational holographic three-dimensional imaging and automated object recognition based on independent component analysis (ICA). Three-dimensional sensing of the scene is performed by computational holographic imaging of the objects using phase-shifting digital holography.
A Multifactor Extension of Linear Discriminant Analysis ...
Linear Discriminant Analysis (LDA) and Multilinear Principal Component Analysis (MPCA) are leading subspace methods for achieving dimension reduction based on supervised learning. Both LDA and MPCA use class labels of data samples to calculate subspaces onto which these samples are projected. Furthermore, both methods have been successfully applied to face recognition....
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