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
Deep adaptive convolutional neural network for near infrared and thermal face recognition
TL;DR: This study proposes a fine-tuning approach to allow deep CNN models to be applied to infrared face recognition (NIR and thermal spectrum) and results show promising results in deep face recognition.
Incorporating Near-Infrared into Scene Understanding
TL;DR: Keywords: Scene understanding ; Near-infrared imaging ; Semantic segmentation; image classification ; Boundary detection ; Material-based segmentation ; CRF model ; Graph-cut segmentation — The Ecole polytechnique federale de Lausanne EPFL 5806.
Journal ArticleDOI
Deep Margin-Sensitive Representation Learning for Cross-Domain Facial Expression Recognition
TL;DR: Zhang et al. as discussed by the authors proposed a novel Deep Margin-Sensitive Representation Learning (DMSRL) framework, which can extract multi-level discriminative features during sematic-aware domain adaptation.
Posted Content
Facial Emotion Recognition with Noisy Multi-task Annotations.
TL;DR: This work introduces a new problem of facial emotion recognition with noisy multi-task annotations, and suggests a formulation from the point of joint distribution match view, which aims at learning more reliable correlations among raw facial images and multi- task labels, resulting in the reduction of noise influence.
Journal ArticleDOI
Learn-to-Decompose: Cascaded Decomposition Network for Cross-Domain Few-Shot Facial Expression Recognition
TL;DR: Zoux et al. as mentioned in this paper proposed a cascaded decomposition network (CDNet), which cascades several learn-to-decompose modules with shared parameters based on a sequential decomposition mechanism, to obtain a transferable feature space.
References
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On combining classifiers
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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.