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Journal ArticleDOI

Facial expression recognition from near-infrared videos

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TLDR
A novel research on a dynamic facial expression recognition, using near-infrared (NIR) video sequences and LBP-TOP feature descriptors and component-based facial features are presented to combine geometric and appearance information, providing an effective way for representing the facial expressions.
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This article is published in Image and Vision Computing.The article was published on 2011-08-01. It has received 586 citations till now. The article focuses on the topics: Three-dimensional face recognition & Face hallucination.

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Citations
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Journal ArticleDOI

Robust facial expression recognition system based on hidden Markov models

TL;DR: This system utilizes one-dimensional Hidden Markov Models (1D-HMMs) with small number of states involving fast computational time during the learning and recognition steps to recognize facial expressions.
Journal ArticleDOI

Multispectral Facial Recognition: A Review

TL;DR: This paper performs a review of the state of the art methods used in multispectral facial recognition using images from the visible spectral band and also from the Near Infrared, Short Wavelength Infrared and Long Wa wavelength Infrared sub-bands.
Proceedings ArticleDOI

Facial Expression Recognition with Skip-Connection to Leverage Low-Level Features

TL;DR: An attempt is made to learn a CNN for a task of facial expression recognition (FER), which has convolutional layers linked with an FC layer with a skip-connection to the classification layer.
Proceedings ArticleDOI

Fuzzy local binary patterns: A comparison between Min-Max and Dot-Sum operators in the application of facial expression recognition

TL;DR: Based on the extensive experiments, the fuzzy Min-Max operators are more useful and can improve the accuracy in the application of Facial Expression Recognition about 4% (i.e., form 82.98% to 86.88%).
Journal ArticleDOI

Facial expression-based analysis on emotion correlations, hotspots, and potential occurrence of urban crimes

TL;DR: The results show that introducing emotion data helps to reveal the interaction between emotions and crimes and improve the performance of crime prediction.
References
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Journal ArticleDOI

Multiresolution gray-scale and rotation invariant texture classification with local binary patterns

TL;DR: A generalized gray-scale and rotation invariant operator presentation that allows for detecting the "uniform" patterns for any quantization of the angular space and for any spatial resolution and presents a method for combining multiple operators for multiresolution analysis.
Journal ArticleDOI

Robust Face Recognition via Sparse Representation

TL;DR: This work considers the problem of automatically recognizing human faces from frontal views with varying expression and illumination, as well as occlusion and disguise, and proposes a general classification algorithm for (image-based) object recognition based on a sparse representation computed by C1-minimization.
Journal ArticleDOI

On combining classifiers

TL;DR: A common theoretical framework for combining classifiers which use distinct pattern representations is developed and it is shown that many existing schemes can be considered as special cases of compound classification where all the pattern representations are used jointly to make a decision.
Journal ArticleDOI

From few to many: illumination cone models for face recognition under variable lighting and pose

TL;DR: A generative appearance-based method for recognizing human faces under variation in lighting and viewpoint that exploits the fact that the set of images of an object in fixed pose but under all possible illumination conditions, is a convex cone in the space of images.
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