AIMC Topic: Biometric Identification

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Face Alignment With Deep Regression.

IEEE transactions on neural networks and learning systems Nov 1, 2016
In this paper, we present a deep regression approach for face alignment. The deep regressor is a neural network that consists of a global layer and multistage local layers. The global layer estimates the initial face shape from the whole image, while...
Humans Neural Networks, Computer Machine Learning Facial Expression Biometric Identification Photic Stimulation Image Processing, Computer-Assisted Regression Analysis
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Multimodal Task-Driven Dictionary Learning for Image Classification.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society Oct 30, 2015
Dictionary learning algorithms have been successfully used for both reconstructive and discriminative tasks, where an input signal is represented with a sparse linear combination of dictionary atoms. While these methods are mostly developed for singl...
Humans Machine Learning Algorithms Pattern Recognition, Automated Biometric Identification Image Processing, Computer-Assisted Face
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Enhanced Local Gradient Order Features and Discriminant Analysis for Face Recognition.

IEEE transactions on cybernetics Oct 26, 2015
Robust descriptor-based subspace learning with complex data is an active topic in pattern analysis and machine intelligence. A few researches concentrate the optimal design on feature representation and metric learning. However, traditionally used fe...
Humans Discriminant Analysis Biometric Identification Female Male Artificial Intelligence Algorithms
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Kernelized Saliency-Based Person Re-Identification Through Multiple Metric Learning.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society Oct 5, 2015
Person re-identification in a non-overlapping multi-camera scenario is an open and interesting challenge. While the task can hardly be completed by machines, we, as humans, are inherently able to sample those relevant persons' details that allow us t...
Image Processing, Computer-Assisted Biometric Identification Machine Learning Algorithms Humans
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Biologically Inspired Model for Visual Cognition Achieving Unsupervised Episodic and Semantic Feature Learning.

IEEE transactions on cybernetics Sep 18, 2015
Recently, many biologically inspired visual computational models have been proposed. The design of these models follows the related biological mechanisms and structures, and these models provide new solutions for visual recognition tasks. In this pap...
Biometric Identification Visual Perception Algorithms Image Processing, Computer-Assisted Semantics Face Models, Biological Humans Machine Learning
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Bit-Scalable Deep Hashing With Regularized Similarity Learning for Image Retrieval and Person Re-Identification.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society Aug 11, 2015
Extracting informative image features and learning effective approximate hashing functions are two crucial steps in image retrieval. Conventional methods often study these two steps separately, e.g., learning hash functions from a predefined hand-cra...
Humans Biometric Identification Databases, Factual Neural Networks, Computer Animals Image Processing, Computer-Assisted Algorithms
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Relevance Metric Learning for Person Re-Identification by Exploiting Listwise Similarities.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society Aug 7, 2015
Person re-identification aims to match people across non-overlapping camera views, which is an important but challenging task in video surveillance. In order to obtain a robust metric for matching, metric learning has been introduced recently. Most e...
Pattern Recognition, Automated Biometric Identification Humans Artificial Intelligence Algorithms Video Recording
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Optimized face recognition algorithm using radial basis function neural networks and its practical applications.

Neural networks : the official journal of the International Neural Network Society Jun 5, 2015
In this study, we propose a hybrid method of face recognition by using face region information extracted from the detected face region. In the preprocessing part, we develop a hybrid approach based on the Active Shape Model (ASM) and the Principal Co...
Pattern Recognition, Automated Biometric Identification Facial Recognition Photic Stimulation Cluster Analysis Humans Principal Component Analysis Neural Networks, Computer Algorithms
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Intensity Estimation of Spontaneous Facial Action Units Based on Their Sparsity Properties.

IEEE transactions on cybernetics Apr 7, 2015
Automatic measurement of spontaneous facial action units (AUs) defined by the facial action coding system (FACS) is a challenging problem. The recent FACS user manual defines 33 AUs to describe different facial activities and expressions. In spontane...
Female Humans Adult Male Face Image Processing, Computer-Assisted Machine Learning Principal Component Analysis Biometric Identification Algorithms
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Distance Metric Learning Using Privileged Information for Face Verification and Person Re-Identification.

IEEE transactions on neural networks and learning systems Mar 12, 2015
In this paper, we propose a new approach to improve face verification and person re-identification in the RGB images by leveraging a set of RGB-D data, in which we have additional depth images in the training data captured using depth cameras such as...
Image Processing, Computer-Assisted Face Algorithms Biometric Identification Humans Learning Pattern Recognition, Automated Artificial Intelligence
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