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.About:
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.read more
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Feature Decomposition and Reconstruction Learning for Effective Facial Expression Recognition
TL;DR: Wang et al. as discussed by the authors proposed a Feature Decomposition and Reconstruction Learning (FDRL) method for effective facial expression recognition, which mainly consists of two crucial networks: a feature decomposition network (FDN) and a feature reconstruction network (FRN).
Journal ArticleDOI
FER-former: Multi-modal Transformer for Facial Expression Recognition
TL;DR: Zhang et al. as discussed by the authors proposed a novel multifarious supervision-steering Transformer for Facial Expression Recognition (FER) in the wild, which features multi-granularity embedding integration, hybrid self-attention scheme, and heterogeneous domain-steered supervision.
Proceedings ArticleDOI
Deep Facial Expression Recognition Using Transfer Learning and Fine-Tuning Techniques
TL;DR: In this paper , a Convolutional Neural Network (CNN) based framework was proposed for estimating basic facial expressions, which achieves state-of-the-art results and runs in real-time on an android-based device to fulfill the target of intelligent human-computer interaction (HCI).
Journal ArticleDOI
A Comprehensive Survey on Affective Computing; Challenges, Trends, Applications, and Future Directions
TL;DR: In this article , the authors discuss the significance of affective computing, as well as its ideas, conceptions, methods, and outcomes, and survey the state-of-the-art approaches along with current affective data resources.
Journal ArticleDOI
Real emotion seeker: recalibrating annotation for facial expression recognition
Zehao Lin,Jiahui She,Qiu Shen +2 more
TL;DR: Zhang et al. as discussed by the authors proposed a real emotion seeker (RES) method to recalibrate the annotation of sample to latent expression distribution besides one-hot label to enhance universality and authenticity.
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.