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
Enhanced Dual-Level Representations for Facial Expression Recognition
TL;DR: Zhang et al. as mentioned in this paper proposed dual-level representation enhancements (DLRE) to handle different variations of expression patterns and more discriminative power to capture the subtle distinctions of hard samples.
Journal ArticleDOI
MPCSAN: multi-head parallel channel-spatial attention network for facial expression recognition in the wild
Proceedings ArticleDOI
Face Identification and Verification in Thermal Images
TL;DR: The range of facial imageries that can be recognized is expanded by developing a method that recognizes thermal faces, and it has been discovered that when thermal images are trained, it performs better.
Book ChapterDOI
Emotion Recognition of Facial Expressions with Deep Learning and Transfer Learning
TL;DR: In this paper , the authors used deep learning and transfer learning techniques to recognize six universally recognized basic facial expressions (happy, sad, surprised, angry, fearful, and disgusted) of Moroccan faces.
References
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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.