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
Citations
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Proceedings ArticleDOI
A Compact Embedding for Facial Expression Similarity
TL;DR: In this paper, a large-scale faces-in-the-wild dataset with human annotations in the form: Expressions A and B are visually more similar when compared to expression C, and use this dataset to train a neural network that produces a compact (16-dimensional) expression embedding.
Journal ArticleDOI
Expression Analysis Based on Face Regions in Real-world Conditions
TL;DR: The whole face is divided into six areas that can be converted into the contribution of different face areas to different emotions and these findings can be combined with findings in psychology to promote the understanding of emotional expressions.
Journal ArticleDOI
A systematic review on affective computing: emotion models, databases, and recent advances
TL;DR: A comprehensive review of state-of-the-art multimodal affect recognition and affective analysis can be found in this article , where the authors introduce two typical emotion models followed by five kinds of commonly used databases for affective computing.
Journal ArticleDOI
Dynamic Facial Expression Generation on Hilbert Hypersphere with Conditional Wasserstein Generative Adversarial Nets.
TL;DR: This work proposes a conditional version of manifold-valued Wasserstein generative adversarial network (GAN) for motion generation on the hypersphere, and learns the distribution of facial expression dynamics of different classes, from which to synthesize new facial expression motions.
Posted Content
A Compact Embedding for Facial Expression Similarity
TL;DR: The goal is to describe facial expressions in a continuous fashion using a compact embedding space that mimics human visual preferences, and it is shown that the embedding learned using the proposed dataset performs better than several other embeddings learned using existing emotion or action unit datasets.
References
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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.
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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.