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Biometric Identification

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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
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...

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
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...

Intensity Estimation of Spontaneous Facial Action Units Based on Their Sparsity Properties.

IEEE transactions on cybernetics
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...

Distance Metric Learning Using Privileged Information for Face Verification and Person Re-Identification.

IEEE transactions on neural networks and learning systems
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...

Automatic face naming by learning discriminative affinity matrices from weakly labeled images.

IEEE transactions on neural networks and learning systems
Given a collection of images, where each image contains several faces and is associated with a few names in the corresponding caption, the goal of face naming is to infer the correct name for each face. In this paper, we propose two new methods to ef...

Challenges in representation learning: a report on three machine learning contests.

Neural networks : the official journal of the International Neural Network Society
The ICML 2013 Workshop on Challenges in Representation Learning(1) focused on three challenges: the black box learning challenge, the facial expression recognition challenge, and the multimodal learning challenge. We describe the datasets created for...

Towards an intelligent framework for multimodal affective data analysis.

Neural networks : the official journal of the International Neural Network Society
An increasingly large amount of multimodal content is posted on social media websites such as YouTube and Facebook everyday. In order to cope with the growth of such so much multimodal data, there is an urgent need to develop an intelligent multi-mod...

Frame-by-frame language identification in short utterances using deep neural networks.

Neural networks : the official journal of the International Neural Network Society
This work addresses the use of deep neural networks (DNNs) in automatic language identification (LID) focused on short test utterances. Motivated by their recent success in acoustic modelling for speech recognition, we adapt DNNs to the problem of id...

Fusion recognition of palmprint and palm vein based on modal correlation.

Mathematical biosciences and engineering : MBE
Biometric authentication prevents losses from identity misuse in the artificial intelligence (AI) era. The fusion method integrates palmprint and palm vein features, leveraging their stability and security and enhances counterfeiting prevention and o...

[Modern opportunities of using computer programs and mobile devices in the frame of personality identification].

Sudebno-meditsinskaia ekspertiza
A technology of mobile devices on the basis of Android and iOS sharing, in which previously trained neural networks on the mobile device with the use of the Skull-face program place the reference points in automatic mode with subsequent analysis of t...